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AI-Based Indicator V.1This is an indicator based on Artificial Intelligence (AI) algorithms which can be used (alone or along with other indicators) as a decision support system. How to use: 1- The default values of Input 1, Input 2, R, and T for BTCUSD are “Close”, “Close”, 4320, and 0.15 respectively. They can be changed to achieve the best performance for BTCUSD or other tickers. 2- Use one of the time frames 4H to 15m. 3. When the background is green buy, and when the background is red sell.
Wskaźnik Pine Script®
od Hakimi1260
14
Scalp Sense AI# Scalp Sense AI (No Repaint) **Adaptive trend & reversal detector with an AI-driven score, multi-timeframe confirmations, robust volume filters, and a purpose-built Scalping Mode.** Signals are generated **only on bar close** (no repaint), include structured alert payloads for webhooks, and come with optional ATR-based TP/SL visualization for study and validation. --- ## What it is (in one paragraph) **Scalp Sense AI** combines classic market structure (DI/ADX, EMA, SMA, Keltner, ATR) with a continuous **AI Score** that fuses RSI normalization, EMA distance (in ATR units), and DI edge into a single, volatility-aware signal. It adaptively gates **trend** and **reversal** entries, applies **HTF confirmation** without lookahead, and enforces **guard rails** (e.g., strong-trend reversal blocking) unless a high-confidence AI override and volume confirmation are present. **Scalping Mode** compresses reaction times and adds micro price-action cues (wick rejections, micro-EMA crosses, small engulfing) to surface more—but disciplined—opportunities. --- ## Non-Repainting Design * All signals, markers, state, and alerts are computed **after bar close** using `barstate.isconfirmed`. * HTF data are requested with `lookahead_off`. * No “future-peeking” constructs are used. * Result: signals do **not** change after the candle closes. --- ## How the engine works (pipeline overview) 1. **Base metrics** * **RSI**, **EMA**, **ATR** (+ ATR SMA for regime/volatility), **SMA long & short**, **Keltner** (EMA ± ATR×mult). * **Manual DI/ADX** for fine control (DM+, DM−, true range smoothing). 2. **Volatility regime** * Compares ATR to its SMA and scales thresholds by √(ATR/ATR\_SMA) → robust “high\_vol” gating. 3. **Volume & flow** * **Volume Z-score**, **OBV slope**, and **MFI** (all computed manually) to confirm impulses and filter weak reversals. 4. **Higher-Timeframe confirmation (optional)** * Imports HTF **PDI/MDI/ADX** and **SMA** (no lookahead) to require alignment when enabled. 5. **AI Score** * Weighted fusion of **RSI (normalized around 0)**, **EMA distance (in ATR)**, and **DI edge**. * Smoothed; then its **mean (μ)** and **volatility (σ)** are estimated to form **adaptive bands** (hi/lo), with optional **hysteresis**. * **Debounce** (M in N bars) avoids flicker; **bias state** persists until truly invalidated. 6. **Signal logic** * **Trend entries** require AI bias + trend confirmations (DI/ADX/SMA, HTF if enabled), volatility OK, and **anti-breakout** filter. * **Reversal entries** come in **core**, **early**, and **scalp** flavors (progressively more frequent), guarded by strong-trend blocks that an **AI+volume+ADX-cooling override** can bypass. 7. **Scalping Mode** * Adaptive parameter contraction (shorter lengths), gentler guards, micro-patterns (wick/engulf/micro-EMA cross), and reduced cooldown to increase high-quality opportunities. 8. **Cooldown & state** * One signal per side after a configurable spacing in bars; internal “last direction” avoids clustering. 9. **Visualization & alerts** * **Triangles** for trend, **circles** for reversals (offset by ATR to avoid overlap). * **Single-line alert payload** (BUY/SELL, reason, AI, volZ, ADX) ready for webhooks. --- ## Signals & visualization * **Trend Long/Short** → triangle markers (above/below) when: * AI bias aligns with trend confirmations (DI edge, ADX above threshold, price vs long SMA, optional HTF alignment). * Volatility regime agrees; **anti-breakout** prevents entries exactly at lookback highs/lows. * **Reversal Long/Short** → circular markers when: * **Core**: AI near “loose” band, OBV/MFI/volZ supportive, ADX cooling, DI spread relaxed, PA confirms (crosses/div). * **Early**: anticipatory patterns (Keltner exhaustion, simple RSI “quasi-divergence”). * **Scalp**: micro-EMA cross, wick rejection, mini-engulfing, with relaxed guards but AI/volume still in the loop. * **Markers appear only on the bar that actually emitted the signal** (no repaint); offsets use ATR so shapes don’t overlap. --- ## Alerts (ready for webhooks) Enable “**Any alert() function call**” and you’ll receive compact, single-line payloads once per bar: ``` action=BUY;reason=reversal-early;ai=0.1375;volZ=0.82;adx=27.5 action=SELL;reason=trend;ai=-0.2210;volZ=0.43;adx=31.9 ``` * `action`: BUY / SELL * `reason`: `trend` | `reversal-core` | `reversal-early` | `reversal-scalp` * `ai`: current smoothed AI Score at signal bar * `volZ`: volume Z-score * `adx`: current ADX --- ## Inputs (exhaustive) ### 1) Core Inputs * **RSI Length (Base)** (`rsi_length_base`, int) Base RSI lookback. Shorter = more reactive; longer = smoother. * **RSI Overbought Threshold** (`rsi_overbought`, int) Informational for context; RSI is used normalized in the AI fusion. * **RSI Oversold Threshold** (`rsi_oversold`, int) Informational; complements visual context. * **EMA Length (Base)** (`ema_length_base`, int) Primary adaptive mean; also used for Keltner mid and distance metric. * **ATR Length (Base)** (`atr_length_base`, int) Volatility unit for Keltner, SL/TP (debug), and regime detection. * **ATR SMA Length** (`atr_sma_len`, int) Smooth baseline for ATR regime; supports “high\_vol” logic. * **ATR Multiplier Base** (`atr_mult_base`, float) Scales volatility gating (sqrt-scaled); higher = tighter high-vol requirement. * **Disable Volatility Filter** (`disable_volatility_check`, bool) Bypass volatility gating if true. * **Price Change Period (bars)** (`price_change_period_base`, int) Simple momentum check (+/−% over N bars) used in trend validation. * **Base Cooldown Bars Between Signals** (`signal_cooldown_base`, int ≥ 0) Minimum bars to wait between signals (per side). * **Trend Confirmation Bars** (`trend_confirm_bars`, int ≥ 1) Require persistence above/below long SMA for this many bars. * **Use Higher Timeframe Confirmation** (`use_higher_tf`, bool) Turn on/off HTF alignment (no repaint). * **Higher Timeframe for Confirmation** (`higher_tf`, timeframe) E.g., “60” to confirm M15 with H1; used for HTF PDI/MDI/ADX and SMA. * **TP as ATR Multiple** (`tp_atr_mult`, float) For **visual debug** only (drawn after entries); not an order manager. * **SL as ATR Multiple** (`sl_atr_mult`, float) For visual debug only. * **Enable Scalping Mode** (`scalping_mode`, bool) Compresses lengths/thresholds, unlocks micro-PA modules, reduces cooldown. * **Show Debug Lines** (`show_debug`, bool) Plots AI bands, DI/ADX, EMA/SMA, Keltner, vol metrics, and TP/SL (debug). ### 2) AI Score & Thresholds * **AI Score Smooth Len** (`ai_len`, int) EMA smoothing over the raw fusion. * **AI Volatility Window** (`ai_sigma_len`, int) Window to estimate AI mean (μ) and standard deviation (σ). * **K High (sigma)** (`ai_k_hi`, float) Upper band width (σ multiplier) for strong threshold. * **K Low (sigma)** (`ai_k_lo`, float) Lower band width (σ multiplier) for loose threshold. * **Debounce Window (bars)** (`ai_debounce_m`, int ≥ 1) Rolling window length used by the confirm counter. * **Min Bars>Thr in Window** (`ai_debounce_n`, int ≥ 1) Minimum confirmations inside the debounce window to validate a state. * **Use Hysteresis Thresholds** (`ai_hysteresis`, bool) Requires crossing back past a looser band to exit bias → fewer whipsaws. * **Weight DI Edge (0–1)** (`ai_weight_di`, float) Importance of DI edge within the fusion. * **Weight EMA Dist (0–1)** (`ai_weight_ema`, float) Importance of EMA distance (in ATR units). * **Weight RSI Norm (0–1)** (`ai_weight_rsi`, float) Importance of normalized RSI. * **Sensitivity (0–1)** (`sensitivity`, float) Contracts/expands bands (higher = more sensitive). ### 3) Volume Filters * **Volume MA Length** (`vol_ma_len`, int) Baseline for volume Z-score. * **Volume Z-Score Window** (`vol_z_len`, int) Std-dev window for Z-score; larger = fewer volume “spikes”. * **Reversal: Min Volume Z for confirm** (`vol_rev_min_z`, float) Minimum Z required to validate reversals (adaptively relaxed in scalping). * **OBV Slope Lookback** (`obv_slope_len`, int) Rising/falling OBV over this window supports bull/bear confirmations. * **MFI Length** (`mfi_len`, int) Money Flow Index lookback (manual calculation). ### 4) Filters (Breakout / ADX / Reversal) * **Enable Breakout Filter** (`enable_breakout_fil`, bool) Avoid trend entries at lookback highs/lows. * **Breakout Lookback Bars** (`breakout_lookback`, int ≥ 1) Window for the anti-breakout guard. * **Base ADX Length** (`adx_length_base`, int) Lookback for DI/ADX smoothing (also adapted in Scalping Mode). * **Base ADX Threshold** (`adx_threshold_base`, float) Minimum ADX to validate trend context (scaled in Scalping Mode). * **Enable Reversal Filter** (`enable_rev_filter`, bool) Master switch for reversal logic. * **Max ADX for Reversal** (`rev_adx_max`, float) Hard cap: above this ADX, reversals are blocked (unless overridden by AI if allowed in Guards). ### 5) Reversal Guard (regime protection & overrides) * **Strong Trend: ADX add-above Thr** (`guard_adx_add`, float) Extra ADX above `adx_threshold` to mark “strong” trend. * **Strong Trend: min DI spread** (`guard_spread_min`, float) Minimum DI separation to consider a trend “dominant”. * **Require ADX drop from window max (%)** (`guard_adx_drop_min_pct`, float 0–1) ADX must drop at least this fraction from its window maximum to consider “cooling”. * **Regime Window (bars)** (`guard_regime_len`, int ≥ 10) Window over which ADX max is measured for the “cooling” check. * **EMA Slope Lookback** (`guard_slope_len`, int ≥ 2) EMA slope horizon used alongside Keltner for strong-trend identification. * **Keltner Mult (ATR)** (`guard_kc_mult`, float) Keltner width for strong trend bands and exhaustion checks. * **HTF Reversal Block Mode** (`htf_block_mode`, string: `Off` | `On` | `AI-controlled`) * `Off`: never block by HTF. * `On`: block reversals whenever HTF is strong. * `AI-controlled`: block **unless** AI+volume+ADX-cooling override criteria are met. * **AI-controlled: allow AI override** (`ai_htf_override`, bool) Enables the override mechanism in `AI-controlled` mode. * **AI override multiplier (vs band\_hi)** (`ai_override_mult`, float) Strength needed beyond the high band to count as “strong AI”. * **AI override: min bars beyond strong thr** (`ai_override_min_bars`, int ≥ 1) Debounce on the override itself. ### 6) Markers * **Reversal Circle ATR Offset** (`rev_marker_offset_atr`, float ≥ 0) Vertical offset for reversal circles; trend triangles use a separate (internal) offset. ### 7) Scalping Mode Tuning * **Reversal aggressiveness (0–1)** (`scalp_rev_aggr`, float) Higher = looser guards and stronger AI sensitivity. * **Wick: body multiple (bull/bear)** (`scalp_wick_body_mult`, float) Wick must be at least this multiple of body to count as rejection. * **Wick: ATR multiple (min)** (`scalp_wick_atr_mult`, float) Minimal wick length in ATR units. * **Micro EMA factor (vs EMA base)** (`scalp_ema_fast_factor`, float 0.2–0.9) Fast EMA length = base EMA × factor (rounded/int). * **Relax breakout filter in scalping** (`scalp_breakout_relax`, bool) Lets more trend entries through in scalping context. ### 8) ICT-style SMA (bases) * **ICT SMA Long Length (Base)** (`sma_long_len_base`, int) Long-term baseline for regime/trend. * **ICT SMA Short1 Length (Base)** (`sma_short1_len_base`, int) Short baseline for price-action crosses. * **ICT SMA Short2 Length (Base)** (`sma_short2_len_base`, int) Companion short baseline used in PA cross checks. > **Adaptive “effective” values:** When **Scalping Mode** is ON, the script internally shortens multiple lengths (RSI/EMA/ATR/ADX/μσ windows, SMAs) and gently relaxes guards (ADX drop %, DI spread, volume Z, override thresholds), reduces cooldown/confirm bars, and optionally relaxes the breakout filter—so you get **more frequent but still curated** signals. --- ## Plots & debug (optional) * DI+/DI−, ADX (curr + HTF), EMA, long SMA, Keltner up/down (when strong), AI Score, AI mean, AI bands (hi/lo; low plots only when hysteresis is on), Volume MA and Z-score, and ATR-based TP/SL guide (after entries). * These are **study aids**; the indicator does not manage trades. --- ## Recommended use * **Timeframes**: * Scalping Mode: M1–M15. * Standard Mode: M15–H1 (or higher). * **Markets**: Designed for liquid FX, indices, metals, and large-cap crypto. * **Chart type**: Standard candles recommended (Heikin-Ashi alters inputs and hence signals). * **Alerts**: Use “Any alert() function call”. Parse the key/value payloads server-side. --- ## Good to know * **Why some alerts don’t draw shapes retroactively**: markers are drawn **only on** the bar that emitted the signal (no repaint by design). * **Why a reversal didn’t fire**: strong-trend guards + HTF block may have been active; check ADX, DI spread, Keltner position, EMA slope, and whether AI override criteria were met. * **Too many / too few signals**: tune **Scalping Mode**, `signal_cooldown_base`, AI bands (`ai_k_hi/lo`, `sensitivity`), volume Z (`vol_rev_min_z`), and guards (`rev_adx_max`, `guard_*`). --- ## Disclaimer This is an **indicator**, not a strategy or an execution system. It does not place, modify, or manage orders. Markets carry risk—validate on historical data and demo before any live decisions. No performance claims are made. --- ### Version **Scalp Sense AI v11.5** — Adaptive AI bands with hysteresis/debounce, HTF no-lookahead confirmations, guarded reversal logic with AI override, full volume suite (Z, OBV slope, MFI), anti-breakout filter, and a dedicated Scalping Mode with micro-PA cues.
Wskaźnik Pine Script®
od Algo_Systems
3
PowerHouse SwiftEdge AI v2.10 with Custom Filters & AI AnalysisPowerHouse SwiftEdge AI v2.10 with Custom Filters & AI Analysis Overview PowerHouse SwiftEdge AI v2.10 is an advanced TradingView Pine Script indicator designed to identify high-probability trading setups by combining pivot-based structure analysis, multi-timeframe trend detection, and adaptive AI-driven signal filtering. The script integrates Change of Character (CHoCH) and Break of Structure (BOS) signals with customizable momentum, volume, breakout, and trend filters to enhance trade precision. Additionally, it offers an optional AI Market Analysis module that predicts future price trends across multiple timeframes, providing traders with a comprehensive market outlook. The script is highly customizable, allowing users to tailor inputs to their trading style, whether for scalping, swing trading, or long-term strategies. It is suitable for all asset classes, including stocks, forex, crypto, and commodities, and performs optimally on timeframes ranging from 1-minute to daily charts. Key Features Pivot-Based Signal Generation: Identifies pivot highs and lows to detect CHoCH (reversal patterns) and BOS (continuation patterns). Signals are plotted as "Buy" or "Sell" labels with optional "Get Ready" pre-signals to prepare traders for potential setups. Take-profit (TP) levels are automatically calculated based on user-defined points, with optional TP box visualization. Multi-Timeframe Trend Analysis: Analyzes trends across seven timeframes (1M, 5M, 15M, 30M, 1H, 4H, D) using EMA and VWAP to determine bullish, bearish, or neutral conditions. Displays a futuristic AI-Trend Matrix dashboard showing trend direction, strength, and confidence levels for quick decision-making. Customizable Signal Filters: Momentum Filter: Ensures signals align with significant price changes, adjusted dynamically using ATR-based volatility. Higher Timeframe Trend Filter: Requires signals to align with the trend of a user-selected higher timeframe (e.g., 1H). Lower Timeframe Trend Filter: Prevents signals that conflict with the trend of a user-selected lower timeframe (e.g., 5M). Volume Filter: Optionally requires above-average volume to confirm signals. Breakout Filter: Optionally requires price to break previous highs/lows for signal validation. Repeated Signal Restriction: Prevents consecutive signals in the same trend direction until the trend changes on a user-defined timeframe. AI-Driven Adaptivity: Incorporates Cumulative Volume Delta (CVD) to assess buying/selling pressure and classify market volatility (Low, Medium, High). Uses ATR to dynamically adjust momentum thresholds, ensuring signals adapt to current market conditions. Optional AI Market Analysis module predicts trends across multiple timeframes by combining trend, momentum, and volatility scores. Visual Elements: Plots CHoCH and BOS levels as horizontal lines with distinct colors (aqua for CHoCH sell, lime for CHoCH buy, fuchsia for BOS sell, teal for BOS buy). Draws dynamic support and resistance trendlines based on short and long-term price action, colored by trend strength. Displays TP levels and pivot highs/lows for easy reference. How It Works The script combines several technical analysis concepts to create a robust trading system: Market Structure Analysis: Pivot highs and lows are identified using a user-defined lookback period (Pivot Length). CHoCH occurs when price crosses below a pivot high (bearish reversal) or above a pivot low (bullish reversal). BOS occurs when price breaks a previous pivot low (bearish continuation) or pivot high (bullish continuation). Trend and Momentum Integration: Trends are determined by comparing price to EMA and VWAP on multiple timeframes. Momentum is calculated as the percentage price change, with thresholds adjusted by ATR to account for volatility. "Get Ready" signals appear when momentum approaches the threshold, preparing traders for potential CHoCH or BOS signals. Signal Filtering: Filters ensure signals align with user-defined criteria (e.g., trend direction, volume, breakouts). The Restrict Repeated Signals option prevents over-signaling by requiring a trend change on a specified timeframe before generating a new signal in the same direction. AI Market Analysis: The optional AI module calculates a score for each timeframe based on trend direction, momentum, and volatility (ATR compared to its SMA). Scores are translated into predictions (▲ for bullish, ▼ for bearish, — for neutral), displayed in a dedicated table. CVD and Volatility Context: CVD tracks buying vs. selling pressure by accumulating volume based on price direction. Volatility is classified using CVD magnitude, influencing the script’s visual cues and signal sensitivity. Why This Combination? The integration of pivot-based structure analysis, multi-timeframe trend filtering, and AI-driven adaptivity addresses common trading challenges: Precision: CHoCH and BOS signals focus on key market turning points, reducing noise from minor price fluctuations. Context: Multi-timeframe analysis ensures trades align with broader market trends, improving win rates. Adaptivity: ATR and CVD adjustments make the script responsive to changing market conditions, avoiding static thresholds that fail in volatile or quiet markets. Customization: Extensive input options allow traders to adapt the script to their preferred markets, timeframes, and risk profiles. Predictive Insight: The AI Market Analysis module provides forward-looking trend predictions, helping traders anticipate market moves. This combination creates a self-contained system that balances responsiveness with reliability, making it suitable for both novice and experienced traders. How to Use Add to Chart: Apply the indicator to your TradingView chart for any asset and timeframe. Recommended timeframes: 5M to 1H for scalping/day trading, 4H to D for swing trading. Configure Inputs: Pivot Length: Adjust (default 5) to control sensitivity to pivot highs/lows. Lower values for faster signals, higher for stronger confirmations. Momentum Threshold: Set the minimum price change (default 0.01%) for signals. Increase for stricter conditions. Take Profit Points: Define TP distance (default 10 points). Adjust based on asset volatility. Signal Filters: Enable/disable filters (momentum, trend, volume, breakout) to match your strategy. Higher/Lower Timeframe: Select timeframes for trend alignment (e.g., 1H for higher, 5M for lower). AI Market Analysis: Enable for predictive trend insights across timeframes. Get Ready Signals: Enable to see pre-signals for potential setups. Interpret Signals: Buy/Sell Labels: Act on green "Buy" or red "Sell" labels, confirming with TP levels and trend direction. Get Ready Labels: Yellow "Get Ready BUY" or orange "Get Ready SELL" indicate potential setups; prepare but wait for confirmation. CHoCH/BOS Lines: Use aqua/lime (CHoCH) and fuchsia/teal (BOS) lines as key support/resistance levels. AI-Trend Matrix: Check the top-right dashboard for trend strength (%), confidence (%), and timeframe-specific trends. AI Market Analysis Table: If enabled, view predictions (▲/▼/—) for each timeframe to anticipate market direction. Trading Tips: Combine signals with other indicators (e.g., RSI, MACD) for additional confirmation. Use higher timeframe trend alignment for higher-probability trades. Adjust TP and signal distance based on asset volatility and trading style. Monitor the AI-Trend Matrix for trend strength; values above 50% or below -50% indicate strong directional bias. Originality PowerHouse SwiftEdge AI v2.10 stands out due to its unique blend of: Adaptive Signal Generation: ATR-based momentum thresholds and CVD-driven volatility context ensure signals remain relevant across market conditions. Multi-Timeframe Synergy: The script’s ability to filter signals based on both higher and lower timeframe trends provides a rare balance of precision and context. AI-Powered Insights: The AI Market Analysis module offers predictive capabilities not commonly found in traditional indicators, simulating institutional-grade analysis. Visual Clarity: The futuristic dashboard and color-coded trendlines make complex data accessible, enhancing usability for all trader levels. Unlike standalone pivot or trend indicators, this script integrates multiple layers of analysis into a cohesive system, reducing false signals and providing actionable insights without requiring external tools or research. Limitations False Signals: No indicator is foolproof; signals may fail in choppy or low-volume markets. Use filters to mitigate. Timeframe Sensitivity: Performance varies by timeframe and asset. Test settings thoroughly. AI Predictions: The AI Market Analysis is based on historical data and simplified scoring; it’s not a guaranteed forecast. Resource Usage: Enabling all filters and AI analysis may slow performance on lower-end devices.
Wskaźnik Pine Script®
od SwiftEdge
20
EquiSense AI Signals🇸🇦 العربي المتنبئ الذكي المتوازن (AI v7) وصف قصير: مؤشر تجميعي ذكي يوازن بين الاتجاه والزخم والحجم والتذبذب وأنماط الشموع، ويحوّلها إلى نظام نقاط ونجوم يولّد إشارات شراء/بيع مؤكَّدة بتقاطع MACD. بعد الإشارة، يعرض أهدافًا ذكية (TP1/TP2/TP3) ووقف خسارة مبنيَّيْن على ATR مع رسومات مستقبلية ولوحة معلومات لإدارة الصفقة. الإعدادات (Inputs) الحد الأدنى للنقاط (min_score): افتراضي 6.0 — كلما ارتفع قلّت الإشارات وزادت جودتها. الحد الأدنى للنجوم (min_stars): افتراضي 2 — فلتر لقوة الإشارة. عدد الشموع المستقبلية (future_bars): افتراضي 15 — مدى رسم الأهداف والوقف للأمام. استخدام الأهداف الذكية (use_ai_targets): تفعيل/إيقاف مضاعِف الذكاء الاصطناعي للأهداف والوقف. كيف يعمل؟ يحسب المؤشر buy_score/sell_score من مجموعة عوامل: EMA8/21/50/200، RSI + متوسطه، MACD + Histogram، Stochastic، ADX/DMI، VWAP، الحجم، MTF 15m، ROC/المومنتَم، Heikin Ashi، وأنماط (ابتلاع/مطرقة/شهاب). يحوّل الدرجات إلى نجوم (⭐⭐ إلى ⭐⭐⭐⭐⭐) حسب القوة. تولّد الإشارة فقط إذا توفّر: درجة ≥ الحد + نجوم ≥ الحد + تقاطع MACD (صعودًا للشراء، هبوطًا للبيع). عند الإشارة يبدأ سيناريو صفقة واحدة فقط حتى تنتهي (TP3 أو SL). الأهداف والوقف (ذكاء اصطناعي) تُشتق من ATR ثم تُعدَّل عبر مضاعِف AI مبني على: ATR%، الزخم (ROC)، الحجم مقابل متوسطه، قوة الاتجاه (ADX)، وعدد النجوم. تقريبيًا: TP1 ≈ 1.5×ATR × AI TP2 ≈ 2.5×ATR × AI TP3 ≈ 4.0×ATR × AI SL ≈ 1.0×ATR ÷ AI ماذا سترى على الشارت؟ علامات “شراء/بيع”، نجوم قرب الإشارة، خط دخول (أزرق)، وقف (أحمر منقّط)، TP1/TP2 (أخضر)، TP3 (ذهبي) مع صناديق مناطق للأهداف وخط ربط نحو الهدف النهائي. وسم AI يعرض نسبة المضاعِف والنجوم بصريًا. لوحة معلومات تعرض الحالة، القوة، AI%، السعر، الدرجات، وأثناء الصفقة: الدخول، TP1/TP2/TP3، والربح اللحظي. التنبيهات (Alerts) شرطان جاهزان: شراء وبيع عند تحقق الإشارة. أضِف تنبيه: Right click → Add alert → اختر المؤشر → الشرط المطلوب. أفضل الممارسات استخدم الإطار المناسب للأصل: سكالبينغ 5–15m: min_score 8 وmin_stars 3–4. تأرجحي H1–H4: min_score 7 وmin_stars 3. يومي/أسهم: min_score 6–7 وmin_stars 2–3. فضّل التداول مع EMA200 واتجاه MTF 15m. خفّض المخاطرة وقت الأخبار العالية. التزم بإدارة مخاطر ثابتة (مثلاً 1% لكل صفقة). حدود مهمة الأفضل انتظار إغلاق الشمعة لتأكيد التقاطعات وتجنّب تغيّرها. صفقة واحدة في المرة بفضل حالة in_trade. يستخدم request.security مع lookahead_off لإطار 15m؛ التزم بالتقييم عند الإغلاق. أسئلة شائعة هل يستخدم منفردًا؟ نعم، لكن مع مناطق سعرية/ترند وخطة مخاطر يصبح أقوى. لماذا تختلف الأهداف؟ لأن مضاعِف AI يكيّف TP/SL مع ظروف السوق. إخلاء مسؤولية هذه أداة تحليلية تعليمية وليست نصيحة استثمارية. اختبر الإعدادات تاريخيًا والتزم بالمخاطرة المناسبة. ملاحظة للمبرمجين Pine Script v6، متغيرات var لحفظ الحالة، تنظيف الرسومات على الشمعة الأخيرة، مع حدود مرتفعة للرسوم لتجنّب الأخطاء. 🇬🇧 English Balanced Smart Predictor (AI v7) Short description: A smart, ensemble-style indicator that blends trend, momentum, volume, volatility, and candle patterns into a score & star system that produces Buy/Sell signals confirmed by MACD crosses. After a signal, it projects smart targets (TP1/TP2/TP3) and a stop-loss derived from ATR, with forward drawings and a control panel for trade management. Inputs Minimum Score (min_score): default 6.0 — higher = fewer but stronger signals. Minimum Stars (min_stars): default 2 — extra filter for strength. Future Bars (future_bars): default 15 — how far targets/SL are drawn ahead. Use AI Targets (use_ai_targets): toggle the AI multiplier for TP/SL. How it works Computes buy_score/sell_score from: EMA8/21/50/200, RSI & its MA, MACD & Histogram, Stochastic, ADX/DMI, VWAP, Volume, 15m MTF tilt, ROC/Momentum, Heikin Ashi, and candle patterns (engulfing/hammer/shooting star). Converts scores into Stars (⭐⭐ to ⭐⭐⭐⭐⭐) via tiered thresholds. Signals fire only when: Score ≥ minimum + Stars ≥ minimum + MACD cross (up = Buy, down = Sell). On a signal, one active trade is managed until TP3 or SL is reached. Targets & Stop (AI-driven) Targets and SL are ATR-based, then adjusted by an AI multiplier derived from: ATR%, momentum (ROC), relative volume, trend strength (ADX), and star rating. Approximate formulas: TP1 ≈ 1.5×ATR × AI TP2 ≈ 2.5×ATR × AI TP3 ≈ 4.0×ATR × AI SL ≈ 1.0×ATR ÷ AI What you’ll see on chart “Buy/Sell” markers with small Star labels, an Entry line (blue), SL (red dotted), TP1/TP2 (green), TP3 (gold) with shaded target boxes and a guide line towards the final target. A central AI badge showing the multiplier % and star rating. A top-right Panel showing status, strength, AI%, price, scores, and during trades: entry, TP1/TP2/TP3, and live P/L. Alerts Two ready-made conditions: Buy and Sell when the respective signal triggers. Add alert: Right click → Add alert → choose the indicator → select condition. Best practices Match timeframe to instrument: Scalping 5–15m: min_score 8, min_stars 3–4. Swing H1–H4: min_score 7, min_stars 3. Daily/Equities: min_score 6–7, min_stars 2–3. Prefer trades with EMA200 and 15m MTF trend alignment. De-risk around major news. Use fixed risk per trade (e.g., 1%). Important notes Prefer bar close confirmation to avoid mid-bar MACD flips. Single trade at a time via the in_trade state. 15m MTF uses request.security with lookahead_off; evaluate at close for consistency. FAQ Use it standalone? You can, but it’s stronger when combined with S/R zones/trendlines and solid risk management. Why do targets vary? The AI multiplier adapts TP/SL to current market conditions. Disclaimer This is an analytical/educational tool, not financial advice. Always backtest and use appropriate risk management. Developer note Built in Pine Script v6, uses var for trade state, clears drawings on the last bar to keep the chart tidy, and raises drawing limits to avoid runtime errors.
Wskaźnik Pine Script®
od Dr-Law
Wall Street Ai**Wall Street Ai – Advanced Technical Indicator for Market Analysis** **Overview** Wall Street Ai is an advanced, AI-powered technical indicator meticulously engineered to provide traders with in-depth market analysis and insight. By leveraging state-of-the-art artificial intelligence algorithms and comprehensive historical price data, Wall Street Ai is designed to identify significant market turning points and key price levels. Its sophisticated analytical framework enables traders to uncover potential shifts in market momentum, assisting in the formulation of strategic trading decisions while maintaining the highest standards of objectivity and reliability. **Key Features** - **Intelligent Pattern Recognition:** Wall Street Ai employs advanced machine learning techniques to analyze historical price movements and detect recurring patterns. This capability allows it to differentiate between typical market noise and meaningful signals indicative of potential trend reversals. - **Robust Noise Reduction:** The indicator incorporates a refined volatility filtering system that minimizes the impact of minor price fluctuations. By isolating significant price movements, it ensures that the analytical output focuses on substantial market shifts rather than ephemeral variations. - **Customizable Analytical Parameters:** With a wide range of adjustable settings, Wall Street Ai can be fine-tuned to align with diverse trading strategies and risk appetites. Traders can modify sensitivity, threshold levels, and other critical parameters to optimize the indicator’s performance under various market conditions. - **Comprehensive Data Analysis:** By harnessing the power of artificial intelligence, Wall Street Ai performs a deep analysis of historical data, identifying statistically significant highs and lows. This analysis not only reflects past market behavior but also provides valuable insights into potential future turning points, thereby enhancing the predictive aspect of your trading strategy. - **Adaptive Market Insights:** The indicator’s dynamic algorithm continuously adjusts to current market conditions, adapting its analysis based on real-time data inputs. This adaptive quality ensures that the indicator remains relevant and effective across different market environments, whether the market is trending strongly, consolidating, or experiencing volatility. - **Objective and Reliable Analysis:** Wall Street Ai is built on a foundation of robust statistical methods and rigorous data validation. Its outputs are designed to be objective and free from any exaggerated claims, ensuring that traders receive a clear, unbiased view of market conditions. **How It Works** Wall Street Ai integrates advanced AI and deep learning methodologies to analyze a vast array of historical price data. Its core algorithm identifies and evaluates critical market levels by detecting patterns that have historically preceded significant market movements. By filtering out non-essential fluctuations, the indicator emphasizes key price extremes and trend changes that are likely to impact market behavior. The system’s adaptive nature allows it to recalibrate its analytical parameters in response to evolving market dynamics, providing a consistently reliable framework for market analysis. **Usage Recommendations** - **Optimal Timeframes:** For the most effective application, it is recommended to utilize Wall Street Ai on higher timeframe charts, such as hourly (H1) or higher. This approach enhances the clarity of the detected patterns and provides a more comprehensive view of long-term market trends. - **Market Versatility:** Wall Street Ai is versatile and can be applied across a broad range of financial markets, including Forex, indices, commodities, cryptocurrencies, and equities. Its adaptable design ensures consistent performance regardless of the asset class being analyzed. - **Complementary Analytical Tools:** While Wall Street Ai provides profound insights into market behavior, it is best utilized in combination with other analytical tools and techniques. Integrating its analysis with additional indicators—such as trend lines, support/resistance levels, or momentum oscillators—can further refine your trading strategy and enhance decision-making. - **Strategy Testing and Optimization:** Traders are encouraged to test Wall Street Ai extensively in a simulated trading environment before deploying it in live markets. This allows for thorough calibration of its settings according to individual trading styles and risk management strategies, ensuring optimal performance across diverse market conditions. **Risk Management and Best Practices** Wall Street Ai is intended to serve as an analytical tool that supports informed trading decisions. However, as with any technical indicator, its outputs should be interpreted as part of a comprehensive trading strategy that includes robust risk management practices. Traders should continuously validate the indicator’s findings with additional analysis and maintain a disciplined approach to position sizing and risk control. Regular review and adjustment of trading strategies in response to market changes are essential to mitigate potential losses. **Conclusion** Wall Street Ai offers a cutting-edge, AI-driven approach to technical analysis, empowering traders with detailed market insights and the ability to identify potential turning points with precision. Its intelligent pattern recognition, adaptive analytical capabilities, and extensive noise reduction make it a valuable asset for both experienced traders and those new to market analysis. By integrating Wall Street Ai into your trading toolkit, you can enhance your understanding of market dynamics and develop a more robust, data-driven trading strategy—all while adhering to the highest standards of analytical integrity and performance.
Wskaźnik Pine Script®
od UnknownUnicorn26125472
Kioseff Trading - AI-Powered Strategy Optimizer Introducing the Kioseff Trading AI-Powered Strategy Optimizer Optimize and build your trading strategy with ease, no matter your experience level. The Kioseff Trading AI-Powered Strategy Optimizer allows traders to efficiently test and refine strategies with thousands of different profit targets and stop loss settings. Integrated with TradingView's backtester, this tool simplifies strategy optimization, strategy testing, and alert setting, enabling you to enhance your strategy with AI-driven insights. Key Features: Comprehensive Testing : Simultaneously test thousands of profit targets and stop losses to fine-tune your strategy. Dual Strategy Optimization : Adjust and optimize both long and short strategies for balanced performance. AI Integration : Elevate your strategy with heuristic-based adaptive learning, turning it into a smart, AI-assisted system. Detailed Analysis : View critical metrics like profit factor, win rate, max drawdown, and equity curve, presented in a strategy script format. Customizable Alerts : Set alerts for the best version of your strategy. Flexible Risk Management : Optimize various stop loss types, including profit targets, limit orders, OCO orders, trailing stops, and fixed stops. Targeted Goals : Choose optimization goals like highest win rate, maximum net profit, or most efficient profit. Indicator Compatibility : Integrate any strategy/indicator, whether it’s your creation, a favorite author’s, or any public TradingView indicator. Accessible Design : Navigate a user-friendly interface suitable for traders of all skill levels. No code required. Precision Lock-In : “Lock” your optimal profit target or stop loss to drill down into precision testing of other variables. How it works It's important to remember that merely having the AI-Powered Strategy Optimizer on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal settings for your strategy. The Trading Strategy Optimizer is a versatile tool tailored for both non-coding traders and seasoned algorithmic trading professionals. Let's start with no-code-required instructions on how to use the optimizer. Instructions: How To Optimize Your Strategy Without Code 1. Build your strategy in the settings The image above shows explanations for each key setting. Note: This example uses the RSI indicator to initiate a long trade whenever it dips below the 30 mark. Ensure that the indicator you wish to optimize is already applied to your chart . This enables the Trading Strategy Optimizer to interact with the indicator and finetune profit targets and stop losses effectively. Because the indicator is plotted on the chart I can access the indicator with the Trading Strategy Optimizer and optimize profit targets and stop losses for it. 2. Leverage AI Recommendations Optimization Prompt: After you load your strategy, the tool advises you on new TP and SL levels that could be more profitable. When your strategy is set, the tool gives you tips for where to set your profit goal (TP) and your stop loss to help you optimize your strategy. It'll tell you if there's a better range for these settings based on past results. Follow Suggestions: Keep updating your TP and SL according to the tool's suggestions until it says "Best Found". Final Result: The last image shows the best settings found by the indicator. (Optional Step 3) 3. Lock the profit target or stop loss to further fine tune your strategy Continue following the AI’s suggestion until “Best Found” is displayed. Note: you can select lock either your stop loss or profit target for fine tuning. For this demonstration we will lock our profit target. Code-Required Instructions (Optional) You can backtest more code-intensive strategies, such as harmonic patterns, traditional chart patterns, candlestick patterns, Elliot wave, etc., by coding the entry condition in your own script and loading it into the Trading Strategy Optimizer. Let's dial in on how to achieve this! 1. You must create an integer variable in your script with an initial value of "0". 2. Define your entry condition in the code. Once complete, assign the value "1" to the variable you created if the entry condition is fulfilled. 3. Plot your variable. 4. Select the plotted variable in the settings for the Trading Strategy Optimizer The image above shows a coded entry condition for the linear regression channel (which can be any indicator). When price crosses under and closes below the lower line our variable "strategyEntryVariable" is assigned the value "1". The Trading Strategy Optimizer will treat this change in value from "0" to "1" as an entry signal and enter long/short up to 1000 times at the price where the entry condition was fulfilled. 5. Test Your Strategy The image above shows the completion of the process! Keep applying the steps we described. Stick with the AI's recommendations until you see “Best Found” show up. By following these instructions, you can build, test, and optimize almost any trading indicator or strategy! So, just note that the Trading Strategy Optimizer considers a change in value of a plotted variable from "0" to "1" as an entry signal! So long as you follow this rule you should be able to test and optimize any conceivable, Pine Script compatible strategy! AI Mode AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components: Heuristic-Based Decision Making: The algorithm evaluates multiple versions of your strategy using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable profit targets and stop losses for trade execution. Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions. Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization. Settings AI Mode Aggressiveness: Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from "Low" To "High, with higher aggressiveness indicating a more assertive trading approach. Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies. Adaptive Learning Aggressiveness: Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics. Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise. Additional Settings Optimization Trading system optimization is immensely advantageous when executed with prudence. Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail. Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Strategia Pine Script®Płatny skrypt
od KioseffTrading
38
Lune Institutional Analysis Premium⬛️ Overview Lune Institutional Analysis is a comprehensive suite of institutional-grade tools designed to visualize market liquidity and volume dynamics. By utilizing volume clustering and delta analysis, this indicator provides traders with a professional perspective on market activity, highlighting areas where significant volume concentrations occur. It is designed to complement strategies such as SMC (Smart Money Concepts) and ICT (Inner Circle Trader) by providing a data-driven layer of institutional context. Distinguished by its real-time, non-repainting calculations, Lune Institutional Analysis aims to bridge the gap between retail price action and volume-based institutional data, helping traders identify potential "smart money" footprints. 🟦 Features Lune Institutional Analysis equips traders with an array of sophisticated features: 🔹 Liquidity Bubbles: This feature visualizes significant volume spikes and concentrations based on volume delta and point of control (POC) analysis within each candle. It identifies imbalances where buy or sell volume significantly outweighs the other. It supports two modes: Regular Bubbles and Trapped Liquidity Bubbles. Trapped Liquidity Bubbles are designed to identify potential "liquidity traps" where price moves sharply against a high-volume area. The Adaptive Transparency feature dynamically adjusts bubble visibility based on the relative volume significance. 🔹 Liquidity Waves: Liquidity Waves track market movements through advanced volume spread analysis, showing the ebb and flow of market interest. By analyzing volume delta patterns, this tool helps traders visualize the momentum of liquidity as it enters or exits the market. It includes sensitivity controls and adaptive transparency to highlight the most significant wave patterns. 🔹 Accumulation/Distribution: The Accumulation/Distribution tool automatically detects and highlights professional accumulation and distribution zones. These zones identify where institutional players are likely building or offloading positions, providing crucial context for potential trend reversals or continuations. 🔹 AI Volume Candles: This feature reimagines price action by integrating volume delta directly into candle visualization. It includes Volume Delta Zones and Net Volume Lines to pinpoint where the most significant trading activity is occurring within each bar. By highlighting volume concentrations, AI Volume Candles reveal the internal strength or weakness of price moves that standard candles might hide. 🔹 AI Liquidation Levels: This tool identifies potential liquidation zones by analyzing historical volume clusters and price pivots. These levels represent areas where a high volume of orders was previously executed, often serving as magnets for price (draw on liquidity) or significant areas of interest for ICT-style analysis. The indicator uses a normalization algorithm to represent volume concentration through dynamic width and adaptive transparency. 🔹 AI Heat Map: The AI Heat Map provides a historical volume distribution visualization, color-coding zones based on net volume delta or directional bias. This reveals the "memory" of the market and where historical interest remains, allowing traders to see significant support and resistance levels formed by historical volume concentrations. 🔹 AI Volume Profile: This sophisticated butterfly-style profile displays both total volume and buy/sell delta distribution. It automatically identifies AI Key Levels (significant volume nodes) that serve as institutional support and resistance. The profile offers deep insights into where value is being perceived by major market participants. These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy. 🟧 Usage Lune Institutional Analysis's unique feature set can be leveraged both individually and synergistically. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs. 🔸 Example #1: The following example demonstrates how Trapped Liquidity Bubbles and AI Liquidation Levels can be used together to identify potential reversal points. Trapped Liquidity Bubbles highlight areas where market participants may be positioned against a sharp move, while AI Liquidation Levels show historical volume clusters where those positions might face pressure. When a bearish Trapped Liquidity Bubble appears near an AI Liquidation level, it can serve as a confluence signal for a potential price reaction. 🔸 Example #2: This example shows how the AI Volume Profile and AI Heat Map can be used to identify areas of significant interest and volume exhaustion. The AI Volume Profile's key levels represent nodes of high historical volume. When price approaches an AI Heat Map zone that aligns with a high-volume node, it provides a stronger confirmation of a potential support or resistance area. Observing price reaction at these combined levels can help traders gauge whether a trend is likely to continue or exhaust. 🔸 Example #3: This example demonstrates how AI Volume Candles can be used to confirm trend strength or identify potential absorption. By using Volume Delta Zones within the AI Volume Candles, traders can see if a breakout is supported by strong directional volume. If price breaks a resistance level but the AI Volume Candles show a high concentration of bearish delta (absorption), it may indicate a fakeout. Conversely, strong bullish delta zones during an uptrend confirm institutional participation in the move. 🟥 Conclusion Lune Institutional Analysis provides a data-centric bridge between retail analysis and institutional-grade volume data. By offering clear visualizations of liquidity, volume delta, and significant volume clusters, it allows traders to look beyond standard price action and understand the underlying volume dynamics. This suite is built for practitioners of SMC and ICT who require an objective, volume-based confirmation for their setups. 🔻 Access You can see the Author's instructions below to get instant access to this indicator & our Premium Suite. 🔻 Disclaimer Lune Institutional Analysis is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions. Remember, past performance is not indicative of future results. Please trade responsibly.
Wskaźnik Pine Script®
od LuneTrading
Gold AI RSI Monitor [Stacked + KNN]Here is a comprehensive description and user guide for the Gold AI RSI Monitor. You can copy and paste this into the "Description" field if you publish the script on TradingView, or save it for your own reference. Gold AI RSI Monitor 🚀 Overview The Gold AI RSI Monitor is a next-generation dashboard designed specifically for trading volatile assets like Gold (XAUUSD). It completely reimagines the traditional RSI by "stacking" 10 different timeframes (from 1-minute to Monthly) into a single, vertical view. Integrated into this dashboard is a K-Nearest Neighbors (KNN) Machine Learning algorithm. This AI analyzes historical price action to find patterns similar to the current market and predicts the next likely move with a confidence score. 📊 Visual Guide: How to Read the Chart 1. The "Stacked" Lanes Instead of switching timeframes constantly, this indicator displays them all at once using vertical offsets. Bottom Lane (0-100): 1-Minute RSI Middle Lanes: 5m, 15m, 30m, 1H, 2H, 4H, Daily Top Lane (900-1000): Monthly RSI 2. Gradient Color System The RSI lines change color based on momentum strength: 🔴 Red: Oversold / Bearish (Approaching 30 or lower) 🟡 Yellow: Neutral (Around 50) 🟢 Green: Overbought / Bullish (Approaching 70 or higher) 3. Tracker Lines Each timeframe has a dotted horizontal line extending to the right. This allows you to instantly see the exact RSI value for every timeframe without squinting. 🤖 The AI Engine (KNN) The "AI" component uses a K-Nearest Neighbors algorithm. Learning: It scans the last 1,000 bars of history. Matching: It finds the 5 historical moments that look mathematically identical to the current market conditions (based on RSI and Volatility). Predicting: It checks if price went UP or DOWN after those historical matches. The Signals: Buying Signal: If the majority of historical matches resulted in a price increase, the AI triggers a BUY. Selling Signal: If the majority resulted in a drop, the AI triggers a SELL. 🎯 How to Trade with This Indicator 1. The "Crosshair" Signal When the AI detects a high-probability setup, a massive Crosshair appears on your chart: Green Crosshair: Strong BUY signal. Red Crosshair: Strong SELL signal. Note: The crosshair consists of a thick vertical line and a dashed horizontal line intersecting at the signal candle. 2. Timeframe Alignment (Confluence) Do not rely on the AI alone. Look at the stacked RSIs: Strong Long: The AI shows a Green Crosshair AND the lower timeframes (1m, 5m, 15m) are all turning Green/upward. Strong Short: The AI shows a Red Crosshair AND the lower timeframes are turning Red/downward. 3. Support & Resistance Zones Bottom Dotted Line (30): Support. If RSI hits this and turns up, it's a buying opportunity. Top Dotted Line (70): Resistance. If RSI hits this and turns down, it's a selling opportunity. ⚙️ Settings Guide RSI Length: Default is 14. Lower (e.g., 7) makes it faster/choppier; higher (e.g., 21) makes it smoother. Enable AI Signals: Toggles the KNN calculation on/off. Neighbors (K): How many historical matches to check. Default is 5. Increase to 9-10 for fewer, more conservative signals. Decrease to 3 for faster, more aggressive signals. AI Timeframe: CRITICAL SETTING. If left empty, the AI calculates based on your current chart. Recommendation: For Gold scalping, set this to 15m or 1h. This ensures the AI looks at the bigger trend even if you are zooming in on the 1-minute chart. ⚠️ Disclaimer This tool is for educational and analytical purposes. The "AI" is a statistical probability algorithm based on past performance, which is not indicative of future results. Always manage your risk.
Wskaźnik Pine Script®
od Protrade888lv
Supply & Demand Zones AI [PRO]## 🟧 OVERVIEW Supply & Demand Zones AI is a premium institutional-grade technical analysis indicator featuring AI/ML-powered zone strength analysis, advanced volume validation, and professional-level zone detection. Built on Order Block and Smart Money Concepts methodology, this indicator identifies high-probability supply and demand zones where institutional traders place significant orders. Whether you are a professional trader, hedge fund analyst, or serious retail trader, this indicator provides the most comprehensive zone analysis available on TradingView. --- ## 🟧 HOW IT WORKS The indicator uses an advanced multi-factor detection algorithm: **Consolidation Detection** Identifies consolidation (base) candles where price action shows minimal directional commitment. These candles with small body-to-range ratios indicate institutional accumulation or distribution phases. **Impulse Move Validation** After consolidation, the algorithm validates strong impulse moves (breakouts) with momentum and volume confirmation: - Strong bullish impulse after consolidation = DEMAND zone (support) - Strong bearish impulse after consolidation = SUPPLY zone (resistance) **AI/ML Zone Strength Analysis** Each zone receives a strength score (0-100%) calculated using 6 key factors: - Zone Status (Fresh vs Retest) - Zone Size relative to ATR - Momentum Strength of the impulse move - Timeframe Weight (higher TF = stronger zones) - Volume Analysis (volume spike detection) - Base Candle Count (consolidation quality) **Zone Lifecycle** Each zone follows a professional lifecycle with color-coded status: - 🟩 FRESH: Newly created zone, untested (highest probability) - 🟨 RETEST 1: First retest (confirmed zone) - 🟧 RETEST 2: Second retest (weakening) - 🟪 RETEST 3: Third retest (caution) - 🟥 RETEST 4+: Multiple retests (high risk) - 🟦 BREAK: Zone invalidated by price close --- ## 🟧 AI/ML TECHNOLOGY This indicator incorporates artificial intelligence and machine learning principles to provide quantified, objective zone analysis: **What is AI/ML in This Indicator?** The AI system uses a weighted multi-factor scoring algorithm that mimics how professional institutional traders evaluate supply and demand zones. Instead of subjective analysis, the system provides objective numerical scores based on measurable market data. **The 6-Factor AI Scoring Model:** 1. Zone Status Score - FRESH zones receive +15 points (untested = highest probability) - Each RETEST reduces score by 3-5 points - Recognizes that zone strength degrades with each test 2. Zone Size Analysis - Small zones (tight consolidation): +20 points - Medium zones: +10 points - Large zones: +0 points - Smaller zones often indicate more precise institutional levels 3. Momentum Strength - Strong impulse moves: +25 points - Average moves: +15 points - Weak moves: +5 points - Calculated using body-to-range ratio of breakout candles 4. Timeframe Weighting - Daily and higher: +15 points - 4H: +12 points - 1H: +8 points - Lower timeframes: +3-5 points - Higher timeframe zones carry more significance 5. Volume Analysis - High volume (1.5x+ average): +20 points - Normal volume: +10 points - Low volume (below average): -5 points - Volume confirms institutional participation 6. Base Candle Quality - 3+ base candles: +10 points - 2 base candles: +5 points - 1 base candle: +0 points - More consolidation = stronger accumulation/distribution **Real-Time AI Updates:** The AI continuously recalculates scores as new data arrives: - Touch Quality updates when price enters zones - Bounce Strength updates on rejection moves - Scores adjust based on volume spikes - Timeframe context is automatically applied **Machine Learning Principles:** The scoring weights are derived from empirical analysis of thousands of historical supply and demand zones, identifying which factors most reliably predict zone holds vs breaks. This data-driven approach provides: - Objective zone ranking - Probability-based decision making - Reduced emotional trading - Consistent evaluation criteria **AI Score Interpretation:** | Score Range | Category | Trading Recommendation | |-------------|----------|----------------------| | 75-100% | VERY STRONG | High confidence trades | | 60-74% | STRONG | Standard trades | | 40-59% | MEDIUM | Requires additional confluence | | 0-39% | WEAK | Avoid or use tight stops | --- ## 🟧 PRO EXCLUSIVE FEATURES **AI/ML Zone Strength Scoring (0-100%)** Every zone displays a calculated strength score based on multiple factors. Score categories: - ●●●● VERY STRONG (75-100%) - Premium zones - ●●●○ STRONG (60-74%) - High probability zones - ●●○○ MEDIUM (40-59%) - Average zones - ●○○○ WEAK (0-39%) - Risky zones **Touch Quality Analysis** Real-time measurement of how well price penetrates the zone during retests: - ●●●● TOUCH 85% = Excellent (deep body penetration) - ●●●○ TOUCH 65% = Good (solid entry opportunity) - ●●○○ TOUCH 45% = Average (acceptable) - ●○○○ TOUCH 25% = Weak (wick only, higher risk) **Bounce Strength Analysis** Measures rejection strength from zones during retests: - ●●●● BOUNCE 90% = Very strong rejection (high probability reversal) - ●●●○ BOUNCE 70% = Strong rejection (good signal) - ●●○○ BOUNCE 50% = Average rejection (acceptable) - ●○○○ BOUNCE 30% = Weak rejection (may break) **Advanced Volume Validation** Volume ratio calculation for each zone with spike detection: - Displays volume at zone creation - Shows volume ratio vs average (e.g., 2.8x, 0.4x) - High volume zones indicate stronger institutional interest **Multiple Retest Color Levels** Visual distinction between retest levels: - RETEST 1: First test (strong) - RETEST 2: Second test (moderate) - RETEST 3+: Multiple tests (weakening) **Base Candle Counter** Accurate consolidation analysis showing the number of base candles that formed each zone (up to 50 bars analyzed). **Professional Break Alerts** Enhanced break alerts with STOP LOSS activation warnings for risk management. --- ## 🟧 ICT SMART MONEY CONCEPTS This indicator is built for traders following ICT (Inner Circle Trader) Smart Money Concepts: **Order Blocks** Zones represent institutional Order Blocks — areas where smart money has placed large orders. The AI strength scoring helps identify the highest quality order blocks. **Liquidity Pools** Fresh zones mark areas where retail stop losses accumulate. Volume analysis confirms institutional interest in these liquidity pools. **Market Structure** Track zone lifecycle to identify: - Break of Structure (BOS): Zone breaks indicating trend continuation - Change of Character (CHoCH): Opposing zones suggesting reversal - Fair Value Gaps: Impulse moves creating price imbalances **Mitigation Blocks** Touch Quality and Bounce Strength metrics help validate mitigation — when price returns to order blocks before continuing. **Kill Zones** Timezone support with 70+ timezones helps identify zones created during London Open, New York Open, and Asian Session for highest probability setups. --- ## 🟧 KEY FEATURES **Automatic Zone Detection** No manual drawing required. Professional-grade detection using Order Block + Price Action methodology. **Smart Zone Filtering** Advanced filters remove weak zones, merge overlapping zones, and limit displayed zones for clean charts. **ATR-Based Zone Sizing** Dynamic zone thickness adjusted using ATR for proportional sizing across all volatility environments. **Customizable Visuals** Full control over colors, transparency, borders, and text for demand, supply, and break zones. **Real-Time Updates** Zones extend automatically with live status updates as price interacts. --- ## 🟧 MULTI-MARKET COMPATIBILITY Works seamlessly across all TradingView markets: **Cryptocurrency** - Bitcoin (BTC), Ethereum (ETH), and all altcoins - Spot, futures, and perpetual contracts - 24/7 markets with continuous price action - Adapts to high crypto volatility **Forex** - All major pairs (EUR/USD, GBP/USD, USD/JPY, etc.) - Cross pairs and exotic currencies - Session-based trading with timezone support - Kill Zone integration **Stocks and Indices** - Individual stocks (NYSE, NASDAQ, global exchanges) - Index futures (ES, NQ, YM, etc.) - ETFs and sector instruments - Pre-market and after-hours support **Commodities** - Gold, Silver, precious metals - Oil, Natural Gas, energy markets - Agricultural commodities --- ## 🟧 TIMEFRAME COMPATIBILITY Fully adaptive across all timeframes: | Category | Examples | Best For | |----------|----------|----------| | Scalping | 1m, 3m, 5m | Quick entries, tight stops | | Intraday | 15m, 30m, 1H | Day trading, session-based | | Swing | 4H, Daily | Multi-day holds, trend following | | Position | Weekly, Monthly | Long-term investing, major levels | The AI scoring system weights higher timeframe zones more heavily, recognizing their increased significance. --- ## 🟧 TIMEZONE SUPPORT Comprehensive timezone support with 70+ major world timezones: - Americas: New York, Chicago, Los Angeles, Toronto, Sao Paulo - Europe: London, Paris, Frankfurt, Zurich, Moscow - Asia-Pacific: Tokyo, Hong Kong, Singapore, Sydney, Dubai - And many more... Zone timestamps display in your local time for easy session correlation. --- ## 🟧 DETECTION MODES Three modes to match your trading style: **Confirmed Only (Default)** Zones created only after candle close. Zero repaint risk. Recommended for most traders. **Realtime Preview** Zones can form on current candle. Faster signals with minor noise potential. **Realtime Aggressive** Updates on every tick. Fastest response for experienced traders only. --- ## 🟧 WHO SHOULD USE THIS INDICATOR Designed for serious traders: - **Professional Traders** requiring institutional-grade analysis - **ICT/Smart Money Traders** applying Order Block concepts - **Supply and Demand Traders** seeking automated zone identification - **Algorithmic Traders** needing quantified zone strength - **Swing Traders** holding multi-day positions - **Day Traders** requiring intraday level identification - **Crypto Traders** navigating volatile markets - **Forex Traders** trading currency pairs - **Stock Traders** analyzing equities and indices - **Risk Managers** using zones for stop loss placement --- ## 🟧 ALERT SYSTEM Professional alert notifications: - **Fresh Zone Alert** : New zone created with strength score - **Retest Alert** : Price returns to test zone (includes retest count) - **Break Alert** : Zone invalidated with STOP LOSS warning Alerts via TradingView app, email, webhook, or SMS. --- ## 🟧 SETTINGS OVERVIEW **Zone Strength Settings** - Show Zone Strength: Toggle AI scoring display - Strength Threshold: Reference threshold for filtering **Touch & Bounce Settings** - Show Touch Quality: Toggle touch analysis - Show Bounce Strength: Toggle bounce analysis **Consolidation Settings** - Consolidation Threshold: Base candle detection (default 73%) **Move Strength Settings** - Min Move Strength: Impulse requirement (default 60%) - Min Move Size (ATR): Minimum move size (default 0.5) **Zone Filter Settings** - Enable Zone Filter: Toggle filtering - Min Zone Size (ATR): Height filter - Min/Max Zone Thickness: Size limits - Min Base Candles: Consolidation length - Overlap Threshold: Merge behavior - Max Zones Limit: Display limit **Visual Settings** - Fresh, Retest 1, Retest 2+ colors - Border width and style - Text size and color - Break zone options --- ## 🟧 USAGE TIPS 1. **Prioritize High Strength Zones** : Trade only from zones with 60%+ strength score for highest probability. 2. **Combine Touch + Bounce** : Best entries have high Touch Quality AND high Bounce Strength. 3. **Volume Confirmation** : Zones with 1.5x+ volume ratio indicate stronger institutional interest. 4. **Multi-Timeframe** : Higher timeframe zones (Daily, Weekly) have higher AI scores and significance. 5. **Fresh Zones First** : Untested zones have highest probability. Each retest weakens the zone. 6. **Session Awareness** : Use timezone feature to trade zones from active trading sessions. 7. **Risk Management** : Place stops beyond zone boundaries. Break alerts warn of potential stop activation. --- ## 🟧 DISCLAIMER This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management when trading.
Wskaźnik Pine Script®
od a_jabbaroff
2
Kameniczki AI RSI Pro v2.0Kameniczki AI RSI Pro v2.0 is an advanced technical indicator based on RSI (Relative Strength Index) with artificial intelligence that provides comprehensive market analysis with emphasis on safety and signal reliability. The indicator combines traditional RSI calculations with modern AI technologies for detecting high-quality trading opportunities. Key Features: AI Signal Quality Assessment - Automatic signal quality rating on 0-100% scale - Strict filtering to prevent false signals - Trend confirmation with "falling knife" protection - Momentum filter for detecting strong trends Multi-Timeframe Analysis - RSI analysis across 5 timeframes (5M, 15M, 30M, 1H, 4H) - Alignment score calculation for trend direction confirmation - Configurable threshold for MTF alignment (50-90%) Smart Money Detection - Detection of smart money accumulation and distribution - Volume vs. price analysis for institutional activity identification - Smart money strength calculation (0-100%) Anomaly Detection System - Early warning system for market anomalies - Monitoring of price, volume, and volatility anomalies - 4 anomaly levels: NORMAL, MEDIUM, HIGH, CRITICAL - Comprehensive anomaly scoring (0-100 points) Volume-Weighted RSI - Volume-weighted RSI calculations - Adaptive RSI lengths based on volatility - Three RSI variants: Fast (7), Medium (14), Slow (21) RSI Divergence Detection - Automatic bullish and bearish divergence detection - 20-bar lookback period for accurate identification - Integration with AI signal quality Dashboard and Visualization Information Dashboard - **SIGNAL**: Main trading signal with percentage score - **ANOMALY**: Market anomaly status with color coding - **MTF**: Multi-timeframe alignment percentages - **SMART MONEY**: Accumulation/distribution status - **DIVERGENCE**: Current RSI divergences Signal Types - **STRONG BUY/SELL**: Highest quality with trend confirmation - **BUY/SELL**: Normal signals with percentage score - **NEUTRAL**: No clear direction Visual Effects - Glowing colors for high AI quality (90%+) - Modern AI color schemes - RSI momentum histogram - Critical zones for extreme levels Settings RSI Core Settings - Base RSI Length: 5-100 (default 14) - Fast RSI Length: 3-21 (default 7) - Slow RSI Length: 14-50 (default 21) - RSI Source: Price source for calculations AI Enhancement - Enable AI Signal Quality: AI quality rating - AI Quality Threshold: 30-95% (default 70%) - Enable Smart Money Detection: Smart money detection - Enable Volume Weighting: Volume weighting Multi-Timeframe Analysis - Enable MTF Analysis: Multi-timeframe analysis - MTF Weight: 10-50% (default 30%) - MTF Alignment Threshold: 50-90% (default 75%) Visual Settings - Enable Glowing Effects: Bright colors for high quality - Line Width: 1-5 (default 2) - Zone Transparency: 50-95% (default 80%) - Dashboard Position: 6 positioning options - Customizable signal colors Alert Settings - Enable Alerts: Main alerts - Enable Divergence Alerts: Divergence alerts - Enable Smart Money Alerts: Smart money alerts Alert System Main Alerts (AI Quality ≥ 85%) - SUPER RSI STRONG BUY/SELL: Highest priority - SUPER RSI BUY/SELL: Normal signals - Price, RSI, trend, and stress level information Specialized Alerts - BULLISH/BEARISH DIVERGENCE: RSI divergences - ANOMALY CRITICAL/HIGH: Market anomalies - SMART MONEY ACCUMULATION/DISTRIBUTION: Smart money activity - MTF ALIGNMENT: Multi-timeframe alignment Technical Specifications Calculation Methods - Volume-weighted RSI with adaptive lengths - ATR-based volatility analysis - EMA trend confirmation (20, 50, 200) - Stress level calculation (KAMENICZKI AI 1.5.5) Safety Mechanisms - Momentum filter against counter-trend trading - Trend confirmation requirements - Volume confirmation for extreme signals - Falling knife protection Performance Optimization - Max bars back: 500 - Efficient global variables - Optimized functions for speed Usage The indicator is designed for professional traders who need reliable and safe signals with emphasis on quality over quantity. It combines traditional technical analysis with modern AI technologies for maximum accuracy and risk minimization.
Wskaźnik Pine Script®
od kameniczkifx
PowerHouse SwiftEdge AI v2.10 StrategyOverview The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style. What It Does This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses: Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes. Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets. Volume Filter: Validates signals with above-average volume to confirm market participation. Breakout Filter: Requires price to break key levels for added confirmation. Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points. AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually. The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management. How It Works The strategy integrates multiple components to create a cohesive trading system: Multi-Timeframe Trend Analysis: The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise. Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context. Momentum Filter: Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions. Volume Filter (Optional): Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts. Breakout Filter (Optional): Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market. Smart Money Concepts (CHoCH/BOS): Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively. Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum. These signals are plotted as horizontal lines with labels, making it easy to visualize key levels. AI Trend Dashboard: Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.” Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context. A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction. Dynamic Trendlines: Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength. Why This Combination? The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy: Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets. Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets. Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis. Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations. The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity. How to Use Add to Chart: Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M). Configure Inputs: Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals. Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals. Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management. Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe. Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style. Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors. AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position. Interpret Signals: Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted. Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups. CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels. Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance. AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral). Backtest and Trade: Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results. Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels). Originality and Value The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets. Important Notes: Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable. Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors. Performance: Backtest thoroughly to optimize settings for your market and timeframe.
Strategia Pine Script®
od SwiftEdge
3
Smart Money Concepts + Fibonacci + EMA - AI Enhanced Analysis### █ OVERVIEW This indicator is not just another "all-in-one" tool; it's a **specialized data visualization layer designed for the new era of AI-driven chart analysis**. The primary purpose of the **"NarmoonAI"** indicator is to structure and display key market information in a clean, consistent, and machine-readable format. Standard charts can be noisy and ambiguous for AI Vision models (like Google's Gemini or OpenAI's GPT-4). This script solves that problem by consolidating the most crucial technical analysis concepts—Smart Money Concepts, Trend Analysis, and Key Levels—into a clear visual language that an AI can easily interpret from a single screenshot. This approach allows traders to leverage the power of artificial intelligence for faster, more objective, and deeper market analysis. It's designed to work seamlessly with our custom AI assistant, the **NarmoonAI Telegram Bot**, but can be used with any modern AI vision tool. --- ### █ CORE COMPONENTS & LOGIC This indicator is a "mashup" with a clear purpose: to create a comprehensive yet clean analytical framework. Here is how each component contributes to the overall goal of AI-enhanced analysis: **1. Smart Money Concepts (Supply & Demand Zones):** * **How it works:** The script automatically identifies significant market turning points by detecting swing highs and lows using `ta.pivothigh` and `ta.pivotlow` over a user-defined `Swing Length`. These pivots form the basis of our Supply (resistance) and Demand (support) zones. * **The "Smart" Edge:** To filter out weaker zones, the indicator analyzes the volume profile. Zones that are formed during periods of high volume (defined as >1.5x the 20-period simple moving average of volume) are highlighted in a stronger, more vibrant color. This signals areas of high institutional interest, a key concept in Smart Money analysis. **2. Multi-Layered Trend Analysis (Exponential Moving Averages - EMAs):** * **How it works:** We've included a customizable suite of four essential EMAs (20, 50, 100, and 200). These are not just random lines; they provide an instant visual reference for short, medium, and long-term trend direction and dynamic support/resistance. * **Why it's useful for AI:** An AI can instantly parse the order and slope of these EMAs. For example, it can identify a strong uptrend when the price is above the 20 EMA, which is above the 50 EMA, and so on. **3. Automatic Fibonacci Retracement:** * **How it works:** Manually drawing Fibonacci levels is subjective and time-consuming. This script automates the process by identifying the highest high and lowest low over a `Fibonacci Lookback Period` (defaulting to 100 bars) and automatically plots the key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786). * **Why it's useful for AI:** It provides objective, universally recognized potential support and resistance levels without any manual drawing, ensuring a clean and consistent chart for analysis. **4. Dynamic Trend Channels:** * **How it works:** The indicator automatically draws trend channels by connecting the two most recent significant pivot highs (for a downtrend channel) or pivot lows (for an uptrend channel). * **The "Dynamic" Edge:** The width of the channel is not fixed. It's dynamically calculated using the Average True Range (ATR), allowing the channel to expand and contract based on the market's current volatility. This provides a much more adaptive and realistic view of the trend's boundaries. --- ### █ HOW TO USE THIS INDICATOR There are two primary ways to use the NarmoonAI indicator: **A) For AI-Powered Analysis (Recommended):** 1. Apply the **NarmoonAI** indicator to any chart. 2. Take a clean screenshot of your chart. 3. Upload the image to your preferred AI Vision model (e.g., Gemini, ChatGPT) or, for the best results, use our specialized **NarmoonAI Telegram bot**. 4. Ask the AI for a detailed analysis. **Example Prompts:** * *"Based on this chart, what is the current market structure? Identify key support and resistance levels."* * *"Is there a potential long setup forming according to the information from the NarmoonAI indicator?"* * *"Summarize the trend direction and strength using the EMAs and trend channels shown."* **B) For Manual Trading:** Traders can use the confluence of signals for high-probability setups: * **High-Probability Long:** Look for the price to enter a **Strong Demand Zone** that aligns with a key **Fibonacci level** (e.g., 0.618) and is respected by a major **EMA** (e.g., the 50 or 100 EMA). * **High-Probability Short:** Look for the price to test a **Strong Supply Zone** near the top of a **descending trend channel**, with EMAs confirming the bearish momentum. --- *This script was created by NarmoonAI to bridge the gap between traditional technical analysis and the powerful capabilities of modern artificial intelligence. We believe this is the future of trading analysis.*
Wskaźnik Pine Script®
od NarmoonAI
6
Alpha Signal AI ProAlpha Signal AI Pro Short description: A smart, ensemble-style indicator that blends trend, momentum, volume, volatility, and candle patterns into a score & star system that produces Buy/Sell signals confirmed by MACD crosses. After a signal, it projects smart targets (TP1/TP2/TP3) and a stop-loss derived from ATR, with forward drawings and a control panel for trade management. Inputs Minimum Score (min_score): default 6.0 — higher = fewer but stronger signals. Minimum Stars (min_stars): default 2 — extra filter for strength. Future Bars (future_bars): default 15 — how far targets/SL are drawn ahead. Use AI Targets (use_ai_targets): toggle the AI multiplier for TP/SL. How it works Computes buy_score/sell_score from: EMA8/21/50/200, RSI & its MA, MACD & Histogram, Stochastic, ADX/DMI, VWAP, Volume, 15m MTF tilt, ROC/Momentum, Heikin Ashi, and candle patterns (engulfing/hammer/shooting star). Converts scores into Stars (⭐⭐ to ⭐⭐⭐⭐⭐) via tiered thresholds. Signals fire only when: Score ≥ minimum + Stars ≥ minimum + MACD cross (up = Buy, down = Sell). On a signal, one active trade is managed until TP3 or SL is reached. Targets & Stop (AI-driven) Targets and SL are ATR-based, then adjusted by an AI multiplier derived from: ATR%, momentum (ROC), relative volume, trend strength (ADX), and star rating. Approximate formulas: TP1 ≈ 1.5×ATR × AI TP2 ≈ 2.5×ATR × AI TP3 ≈ 4.0×ATR × AI SL ≈ 1.0×ATR ÷ AI What you’ll see on chart “Buy/Sell” markers with small Star labels, an Entry line (blue), SL (red dotted), TP1/TP2 (green), TP3 (gold) with shaded target boxes and a guide line towards the final target. A central AI badge showing the multiplier % and star rating. A top-right Panel showing status, strength, AI%, price, scores, and during trades: entry, TP1/TP2/TP3, and live P/L. Alerts Two ready-made conditions: Buy and Sell when the respective signal triggers. Add alert: Right click → Add alert → choose the indicator → select condition. Best practices Match timeframe to instrument: Scalping 5–15m: min_score 8, min_stars 3–4. Swing H1–H4: min_score 7, min_stars 3. Daily/Equities: min_score 6–7, min_stars 2–3. Prefer trades with EMA200 and 15m MTF trend alignment. De-risk around major news. Use fixed risk per trade (e.g., 1%). Important notes Prefer bar close confirmation to avoid mid-bar MACD flips. Single trade at a time via the in_trade state. 15m MTF uses request.security with lookahead_off; evaluate at close for consistency. FAQ Use it standalone? You can, but it’s stronger when combined with S/R zones/trendlines and solid risk management. Why do targets vary? The AI multiplier adapts TP/SL to current market conditions. Disclaimer This is an analytical/educational tool, not financial advice. Always backtest and use appropriate risk management. Developer note Built in Pine Script v6, uses var for trade state, clears drawings on the last bar to keep the chart tidy, and raises drawing limits to avoid runtime errors.
Wskaźnik Pine Script®
od Dr-Law
2
SuperTrend V · AI Buy/Sell超级趋势 V · AI 买卖 + 止盈提示简介 / Overview 中文： 本指标在经典 SuperTrend 上加入了体量价差（VPT）平滑与“参考均线”过滤，给出 AI 买入/卖出 信号（规则化的过滤逻辑，非机器学习），并在价格触及动态止盈通道时打出 “止盈” 圆点。每笔信号之间自动跟踪并标注 峰值收益（可显示杠杆倍数），用于回顾交易潜在的最大浮盈。适合趋势/波段交易与告警联动。 English: This indicator enhances classic SuperTrend with VPT-style smoothing and a reference EMA filter to emit AI Buy/Sell signals (rule-based, not ML). It plots TP dots when price hits a dynamic take-profit channel and labels the Peak Profit reached between opposite signals (with optional leverage display). Designed for trend/swing trading and alerts. 使用方法 / How to Use 中文： 将指标加到任意品种图表（默认 15 分钟～4 小时均可）。 观察两条“参考均线”：红线=参考均线、蓝线=开盘均线。当红线在蓝线上方时偏多，反之偏空（图中填充区也会切色）。 AI 买入：价格向上穿越 SuperTrend 线，且收盘价位于蓝线之上；AI 卖出：价格向下穿越 SuperTrend 线，且收盘价位于蓝线之下。 出现 “止盈” 圆点（TP）代表价格触达动态带（基于线性回归+σ通道）。可作为分批止盈/加减仓的参考。 当下一次出现相反方向的 AI 信号时，会在本轮交易的峰值位置打出 “峰值收益 xx% (100x)” 标签，用于复盘。 需要自动提醒：在图表右键 → “添加告警”，选择本指标并挑选相应条件（见“告警条件”）。 English: Add the indicator to any symbol/timeframe (15m–4h recommended). Use the two reference EMAs (red = reference, blue = open EMA). Red above blue favors long bias and vice versa. AI Buy: price crosses above the SuperTrend line and closes above the blue EMA. AI Sell: crosses below and closes below the blue EMA. TP dots appear when price touches the dynamic channel (linear-regression VWAP ± σ). Use them for partial take-profit or scaling. On the next opposite AI signal, a Peak Profit xx% (100x) label is placed at the highest/lowest excursion for review. For alerts: Right-click chart → “Add Alert” → choose this script and a condition (see “Alert conditions”). 主要参数 / Key Inputs 中文： 参考时间框架（分钟）：用于参考均线与平滑的更高周期（默认 720 分=12H）。 SuperTrend 乘数 / 周期：决定 ST 线的灵敏度与带宽；乘数越小越敏感。 止盈倍数（σ）、止盈窗口长度：决定 TP 圆点通道的宽度与回溯长度。 显示峰值收益标签、杠杆（仅用于文本显示）：是否显示“峰值收益”，以及标签内显示的 x 倍数。 English: Reference timeframe (minutes) for smoothing/EMAs (default 720 = 12H). SuperTrend Multiplier / Period control sensitivity and band width. TP Sigma, TP Window Length define the dynamic channel. Show Peak Profit, Leverage (text only) toggle the label and x-multiplier text. 告警条件 / Alert Conditions 中文：买入、卖出、卖出止盈触发（低位 TP）、买入止盈触发（高位 TP）。 English: Buy, Sell, TP on Short (low band cross up), TP on Long (upper band cross down). 参数建议 / Tuning Tips 中文： 加密 15m：ST 乘数 1.0～1.5、周期 10～14；TP σ=2、窗口 100～200。 趋势强：可增大乘数/窗口，减少噪音；震荡多：减小乘数/窗口，提高敏感度但留意假信号。 English: Crypto 15m: ST mult 1.0–1.5, period 10–14; TP σ=2, window 100–200. Strong trend: increase mult/window to cut noise. Choppy: decrease for responsiveness (watch for whipsaw). 交易提示 / Trading Notes 中文：AI 标签仅为规则化过滤，不代表模型预测；建议结合更大周期方向与量能确认。止盈圆点可做分批减仓，切勿仅依赖单一信号。 English: “AI” labels are rule-based filters, not ML predictions. Combine with higher-TF bias/volume. Use TP dots for scaling; avoid single-signal decisions.
Wskaźnik Pine Script®
od e034886
DEEP PEAK AI PRO (One-way Filtered) 🧠 Introducing DeepPeak AI An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points. 🌟 What is DeepPeak AI? DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals. Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency. ⚙️ How does DeepPeak AI work? ✅ Bottom Detection: Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators. → Suggests BUY in low-risk, high-reward areas. ❌ Peak Detection: Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum. → Suggests SELL or TAKE PROFIT in high-risk reversal zones. 🤖 AI Intelligence: DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm. 💡 Key Features: 📊 Real-time detection of peaks and bottoms. 📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels. 🔔 Signal alerts via chart and webhook (TradingView integration). 🔄 Self-learning AI that adapts to evolving market behavior. 🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc. 🧠 Who is DeepPeak AI for? 🧩 New investors who need clear, beginner-friendly signals. ⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones. 🤖 Developers integrating AI-based analysis into trading bots. ⚠️ Usage Notes: This is not a guaranteed signal tool — use in combination with risk management and overall market analysis. Works best in trending markets or tight consolidation ranges.
Wskaźnik Pine Script®
od baereizsfd
DEEP PEAK AI 🧠 Introducing DeepPeak AI An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points. 🌟 What is DeepPeak AI? DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals. Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency. ⚙️ How does DeepPeak AI work? ✅ Bottom Detection: Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators. → Suggests BUY in low-risk, high-reward areas. ❌ Peak Detection: Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum. → Suggests SELL or TAKE PROFIT in high-risk reversal zones. 🤖 AI Intelligence: DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm. 💡 Key Features: 📊 Real-time detection of peaks and bottoms. 📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels. 🔔 Signal alerts via chart and webhook (TradingView integration). 🔄 Self-learning AI that adapts to evolving market behavior. 🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc. 🧠 Who is DeepPeak AI for? 🧩 New investors who need clear, beginner-friendly signals. ⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones. 🤖 Developers integrating AI-based analysis into trading bots. ⚠️ Usage Notes: This is not a guaranteed signal tool — use in combination with risk management and overall market analysis. Works best in trending markets or tight consolidation ranges.
Wskaźnik Pine Script®
od baereizsfd
1
Volume SuperTrend AI (Expo)█ Overview The Volume SuperTrend AI is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm. The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator aims to offer more precise predictions of price trends, offering bullish and bearish signals. █ How It Works Volume Analysis: By utilizing volume-weighted moving averages (VWMA), the Volume SuperTrend AI emphasizes the importance of trading volume in the trend direction, allowing it to respond more accurately to market dynamics. Artificial Intelligence Integration - k-Nearest Neighbors (k-NN) Algorithm: The k-NN algorithm is employed to intelligently examine historical data points, measuring distances between current parameters and previous data. The nearest neighbors are utilized to create predictive modeling, thus adapting to intricate market patterns. █ How to use Trend Identification The Volume SuperTrend AI indicator considers not only price movement but also trading volume, introducing an extra dimension to trend analysis. By integrating volume data, the indicator offers a more nuanced and robust understanding of market trends. When trends are supported by high trading volumes, they tend to be more stable and reliable. In practice, a green line displayed beneath the price typically suggests an upward trend, reflecting a bullish market sentiment. Conversely, a red line positioned above the price signals a downward trend, indicative of bearish conditions. Trend Continuation signals The AI algorithm is the fundamental component in the coloring of the Volume SuperTrend. This integration serves as a means of predicting the trend while preserving the inherent characteristics of the SuperTrend. By maintaining these essential features, the AI-enhanced Volume SuperTrend allows traders to more accurately identify and capitalize on trend continuation signals. TrailingStop The Volume SuperTrend AI indicator serves as a dynamic trailing stop loss, adjusting with both price movement and trading volume. This approach protects profits while allowing the trade room to grow, taking into account volume for a more nuanced response to market changes. █ Settings AI Settings: Neighbors (k): This setting controls the number of nearest neighbors to consider in the k-Nearest Neighbors (k-NN) algorithm. By adjusting this parameter, you can directly influence the sensitivity of the model to local fluctuations in the data. A lower value of k may lead to predictions that closely follow short-term trends but may be prone to noise. A higher value of k can provide more stable predictions, considering the broader context of market trends, but might lag in responsiveness. Data (n): This setting refers to the number of data points to consider in the model. It allows the user to define the size of the dataset that will be analyzed. A larger value of n may provide more comprehensive insights by considering a wider historical context but can increase computational complexity. A smaller value of n focuses on more recent data, possibly providing quicker insights but might overlook longer-term trends. AI Trend Settings: Price Trend & Prediction Trend: These settings allow you to adjust the lengths of the weighted moving averages that are used to calculate both the price trend and the prediction trend. Shorter lengths make the trends more responsive to recent price changes, capturing quick market movements. Longer lengths smooth out the trends, filtering out noise, and highlighting more persistent market directions. AI Trend Signals: This toggle option enables or disables the trend signals generated by the AI. Activating this function may assist traders in identifying key trend shifts and opportunities for entry or exit. Disabling it may be preferred when focusing on other aspects of the analysis. Super Trend Settings: Length: This setting determines the length of the SuperTrend, affecting how it reacts to price changes. A shorter length will produce a more sensitive SuperTrend, reacting quickly to price fluctuations. A longer length will create a smoother SuperTrend, reducing false alarms but potentially lagging behind real market changes. Factor: This parameter is the multiplier for the Average True Range (ATR) in SuperTrend calculation. By adjusting the factor, you can control the distance of the SuperTrend from the price. A higher factor makes the SuperTrend further from the price, giving more room for price movement but possibly missing shorter-term signals. A lower factor brings the SuperTrend closer to the price, making it more reactive but possibly more prone to false signals. Moving Average Source: This setting lets you choose the type of moving average used for the SuperTrend calculation, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), etc. Different types of moving averages provide various characteristics to the SuperTrend, enabling customization to align with individual trading strategies and market conditions. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Wskaźnik Pine Script®
od Zeiierman
75
Brahmastra AI by Trading LearnerBrahmastra AI V6.1 is a powerful AI-driven Smart Money trading indicator built to decode institutional footprints, liquidity behavior, market structure, and momentum shifts with precision. Designed for intraday, swing, and positional traders, Brahmastra blends Smart Money Concepts (SMC), institutional zone intelligence, and adaptive AI logic to help traders identify high-probability entries, exits, reversals, and trend continuations with confidence and discipline. 🔥 Core Features - Institutional Zones AI-detected zones highlighting institutional buying & selling footprints (high-probability supply–demand areas). - Epicenter Points High-impact price levels with maximum institutional order concentration. - Sheshnag Ji (Dynamic WMA) Adaptive weighted moving average acting as dynamic support & resistance. - Smart Money Concepts (SMC) Includes: Order Blocks Break of Structure (BOS) Change of Character (CHOCH) AI Market Structure (HH / HL) Automatic detection of HH, HL, LH, LL for real-time structure clarity. ⚡ Zones, Liquidity & Fair Value Rudra Prime Zones – ADR-based static zones for Daily / Weekly / Monthly bias Equal Highs & Equal Lows – Liquidity pools & stop-hunt targets Har Ki Podi – AI equilibrium zones (premium–discount balance) AI Fibonacci Point Zones – Probability-backed retracement & reaction areas 🚀 Momentum & Candle Intelligence GSLV Momentum Candles – Internal candle strength & momentum shifts Chor Candle – Price–volume mismatch detection (fake moves & traps) Buying / Selling Retrace Alerts – AI-predicted high-probability retracements ⭐ V6.1 Enhancements CPR (Central Pivot Range) – Intraday bias, balance, breakout & reversal zones Universal SNG Lines – Smart adaptive dynamic support & resistance Liquidity Zones – Stacked liquidity regions for sweeps & institutional traps ⚠️ This indicator is a decision-support tool, not a buy/sell guarantee. Always apply proper risk management. 🔹 HOW TO USE Brahmastra AI 1️⃣ Identify Trend & Bias Use Market Structure (HH/HL) Confirm with Sheshnag Ji & CPR 2️⃣ Mark Institutional Zones Focus on Institutional Zones, Rudra Prime Zones, and Epicenter Points 3️⃣ Wait for Liquidity Interaction Watch Equal Highs/Lows and Liquidity Zones Look for sweeps or stop-hunts 4️⃣ Entry Confirmation Enter near Har Ki Podi or AI Point Zones Confirm with GSLV Momentum Candles or Chor Candle 5️⃣ Risk Management Stop-loss beyond liquidity zones Targets at next institutional or liquidity level Best results come from multi-timeframe confirmation and patience.
Wskaźnik Pine Script®
od VedLearner
1
MTF RSI Stacked + AI + Gradient MTF RSI Stacked + AI + Gradient Quick-start guide & best-practice rules What the indicator does Multi-Time-Frame RSI in one pane • 10 time-frames (1 m → 1 M) are stacked 100 points apart (0, 100, 200 … 900). • Each RSI is plotted with a smooth red-yellow-green gradient: – Red = RSI below 30 (oversold) – Yellow = RSI near 50 – Green = RSI above 70 (overbought) • Grey 30-70 bands are drawn for every TF so you can see extremities at a glance. Built-in AI (KNN) signal • On every close of the chosen AI-time-frame the script: – Takes the last 14-period RSI + normalised ATR as “features” – Compares them to the last N bars (default 1 000) – Votes of the k = 5 closest neighbours → BUY / SELL / NEUTRAL • Confidence % is shown in the badge (top-right). • A thick vertical line (green/red) is printed once when the signal flips. How to read it • Gradient colour tells you instantly which TFs are overbought/obove sold. • When all or most gradients are green → broad momentum up; look for shorts only on lower-TF pullbacks. • When most are red → broad momentum down; favour longs only on lower-TF bounces. • Use the AI signal as a confluence filter, not a stand-alone entry: – If AI = BUY and 3+ higher-TF RSIs just crossed > 50 → consider long. – If AI = SELL and 3+ higher-TF RSIs just crossed < 50 → consider short. • Divergences: price makes a higher high but 1 h/4 h RSI (gradient) makes a lower high → possible reversal. Settings you can tweak AI timeframe – leave empty = same as chart, or pick a higher TF (e.g. “15” or “60”) to slow the signal down. Training bars – 500-2 000 is the sweet spot; bigger = slower but more stable. K neighbours – 3-7; lower = more signals, higher = smoother. RSI length – 14 is standard; 9 gives earlier turns, 21 gives fewer false swings. Practical trading workflow Open the symbol on your execution TF (e.g. 5 m). Set AI timeframe to 3-5× execution TF (e.g. 15 m or 30 m) so the signal survives market noise. Wait for AI signal to align with gradient extremes on at least one higher TF. Enter on the first gradient reversal inside the 30-70 band on the execution TF. Place stop beyond the swing that caused the gradient flip; target next opposing 70/30 level on the same TF or trail with structure. Colour cheat-sheet Bright green → RSI ≥ 70 (overbought) Bright red → RSI ≤ 30 (oversold) Muted colours → RSI near 50 (neutral, momentum pause) That’s it—one pane, ten time-frames, colour-coded extremes and an AI confluence layer. Keep the chart clean, use price action for precise entries, and let the gradient tell you when the wind is at your back.
Wskaźnik Pine Script®
od Protrade888lv
Dskyz (DAFE) AI Adaptive Regime - Beginners VersionDskyz (DAFE) AI Adaptive Regime - Pro: Revolutionizing Trading for All Introduction In the fast-paced world of financial markets, traders need tools that can keep up with ever-changing conditions while remaining accessible. The Dskyz (DAFE) AI Adaptive Regime - Pro is a groundbreaking TradingView strategy that delivers advanced, AI-driven trading capabilities to everyday traders. Available on TradingView (TradingView Scripts), this Pine Script strategy combines sophisticated market analysis with user-friendly features, making it a standout choice for both novice and experienced traders. Core Functionality The strategy is built to adapt to different market regimes—trending, ranging, volatile, or quiet—using a robust set of technical indicators, including: Moving Averages (MA): Fast and slow EMAs to detect trend direction. Average True Range (ATR): For dynamic stop-loss and volatility assessment. Relative Strength Index (RSI) and MACD: Multi-timeframe confirmation of momentum and trend. Average Directional Index (ADX): To identify trending markets. Bollinger Bands: For assessing volatility and range conditions. Candlestick Patterns: Recognizes patterns like bullish engulfing, hammer, and double bottoms, confirmed by volume spikes. It generates buy and sell signals based on a scoring system that weighs these indicators, ensuring trades align with the current market environment. The strategy also includes dynamic risk management with ATR-based stops and trailing stops, as well as performance tracking to optimize future trades. What Sets It Apart The Dskyz (DAFE) AI Adaptive Regime - Pro distinguishes itself from other TradingView strategies through several unique features, which we compare to common alternatives below: | Feature | Dskyz (DAFE) | Typical TradingView Strategies| |---------|-------------|------------------------------------------------------------| | Regime Detection | Automatically identifies and adapts to **four** market regimes | Often static or limited to trend/range detection | | Multi‑Timeframe Analysis | Uses higher‑timeframe RSI/MACD for confirmation | Rarely incorporates multi‑timeframe data | | Pattern Recognition | Detects candlestick patterns **with volume confirmation** | Limited or no pattern recognition | | Dynamic Risk Management | ATR‑based stops and trailing stops | Often uses fixed stops or basic risk rules | | Performance Tracking | Adjusts thresholds based on past performance | Typically static parameters | | Beginner‑Friendly Presets | Aggressive, Conservative, Optimized profiles | Requires manual parameter tuning | | Visual Cues | Color‑coded backgrounds for regimes | Basic or no visual aids | The Dskyz strategy’s ability to integrate regime detection, multi-timeframe analysis, and user-friendly presets makes it uniquely versatile and accessible, addressing the needs of everyday traders who want professional-grade tools without the complexity. -Key Features and Benefits [Why It’s Ideal for Everyday Traders ⚡The Dskyz (DAFE) AI Adaptive Regime - Pro democratizes advanced trading by offering professional-grade tools in an accessible package. Unlike many TradingView strategies that require deep technical knowledge or fail in changing market conditions, this strategy simplifies complex analysis while maintaining robustness. Its presets and visual aids make it easy for beginners to start, while its adaptive features and performance tracking appeal to advanced traders seeking an edge. 🔄Limitations and Considerations Market Dependency: Performance varies by market and timeframe. Backtesting is essential to ensure compatibility with your trading style. Learning Curve: While presets simplify use, understanding regimes and indicators enhances effectiveness. No Guaranteed Profits: Like all strategies, success depends on market conditions and proper execution. The Reddit discussion highlights skepticism about TradingView strategies’ universal success (Reddit Discussion). Instrument Specificity: Optimized for futures (e.g., ES, NQ) due to fixed tick values. Test on other instruments like stocks or forex to verify compatibility. 📌Conclusion The Dskyz (DAFE) AI Adaptive Regime - Pro is a revolutionary TradingView strategy that empowers everyday traders with advanced, AI-driven tools. Its ability to adapt to market regimes, confirm signals across timeframes, and manage risk dynamically. sets it apart from typical strategies. By offering beginner-friendly presets and visual cues, it makes sophisticated trading accessible without sacrificing power. Whether you’re a novice looking to trade smarter or a pro seeking a competitive edge, this strategy is your ticket to mastering the markets. Add it to your chart, backtest it, and join the elite traders leveraging AI to dominate. Trade like a boss today! 🚀 Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. -Dskyz
Strategia Pine Script®
od DskyzInvestments
3
NeoTrend AI- Advanced Trading SignalsNeoTrend AI – Advanced Trading Signals Overview NeoTrend AI is an advanced trading signal indicator that uniquely integrates a kernel-based predictive model with adaptive volatility analysis. By processing historical price data through a Gaussian kernel matrix, NeoTrend AI produces a statistically informed predicted price. This prediction is then used to generate dynamic volatility bands that serve as adaptive support and resistance levels, leading to clear BUY and SELL signals. Originality and Usefulness Innovative Mashup: NeoTrend AI isn’t a mere combination of common indicators; it fuses a novel kernel-based forecasting method with volatility analysis. This creates a tool that not only tracks trends but also identifies key market zones with enhanced precision. Actionable Insights: The indicator’s design helps traders understand both the underlying trend and the market’s volatility, providing a robust framework for making informed trading decisions. Customizable Approach: With user-adjustable settings for lookback periods, prediction offsets, smoothness factors, and volatility multipliers, NeoTrend AI adapts to various markets and trading styles. Omissions and Realistic Claims Transparent Methodology: NeoTrend AI’s signals are generated solely from historical data analysis using well-established mathematical techniques. There are no unrealistic promises—past performance does not guarantee future results. No Unsubstantiated Claims: All performance metrics and signal accuracy are clearly derived from the underlying methodology. This script is designed to provide useful insights rather than definitive trading outcomes. Strategy Results Kernel Forecasting: The script builds a Gaussian kernel matrix over a chosen lookback period, smoothing historical price data and generating a predictive price that adjusts dynamically. Adaptive Volatility Bands: A volatility band is calculated based on the difference between the actual price and the predicted price, scaled by a user-defined multiplier. These bands change in real time, acting as dynamic support and resistance levels. Signal Generation: BUY Signal: Issued when the current price moves above the upper volatility band and the predicted price is trending upward. SELL Signal: Issued when the price falls below the lower volatility band while the predicted price is trending downward. Visual Examples Buy and sell signals are generated, as clearly shown on the chart Usage Tips Parameter Customization: Adjust the lookback period, smoothness factor, and volatility multiplier to fit your trading timeframe and market conditions. Combine with Other Tools: Use NeoTrend AI alongside additional technical indicators and robust risk management strategies for best results. Backtest Thoroughly: Always perform comprehensive backtesting to understand how the indicator behaves under different market scenarios. Final Remarks NeoTrend AI is built to offer traders an original, data-driven insight into market trends without resorting to exaggerated or misleading claims. Its design emphasizes both innovation and practicality, ensuring that you receive actionable signals based on sound statistical methods.
Wskaźnik Pine Script®
od TradeAiPro
14
TradingIQ - Counter Strike IQIntroducing "Counter Strike IQ" by TradingIQ Counter Strike IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside breakouts of varying significance. By integrating artificial intelligence and IQ Technology, Counter Strike IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations. Philosophy of Counter Strike IQ Counter Strike IQ operates on a single premise: Support and resistance levels cannot hold forever. At some point either side must break for the underlying asset to exhibit trends; otherwise, prices would be confined to an infinitely narrowing range. Counter Strike IQ is designed to work straight out of the box. In fact, its simplicity requires just four user settings to manage output, making it incredibly straightforward to manage. Minimum ATR Profit, Minimum ATR Stop, EMA Filter and EMA Filter Length are the only settings that manage the performance of Counter Strike IQ! Traders don’t have to spend hours adjusting settings and trying to find what works best - Counter Strike IQ handles this on its own. Key Features of Counter Strike IQ Self-Learning Breakout Detection Employs AI and IQ Technology to identify notable breakouts in real-time. AI-Generated Trading Signals Provides breakout trading signals derived from self-learning algorithms. Comprehensive Trading System Offers clear entry and exit labels. Performance Tracking Records and presents trading performance data, easily accessible for user analysis. Self-Learning Trading Exits Counter Strike IQ learns where to exit positions. Long and Short Trading Capabilities Supports both long and short positions to trade various market conditions. Strike Channel The Strike Channel represents what Counter Strike IQ considers a tradable long opportunity or a tradable short opportunity. The Strike Channel is dynamic and adjusts from chart to chart. IQ Graph Gradient Introduces the IQ Graph Gradient, designed to classify extreme values in price on a grand scale. How It Works Counter Strike IQ operates on a straightforward heuristic: go long during significant upside price moves that break established resistance levels and go short during significant downside price moves that break established support levels. IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “significant price move” and what’s considered a tradable breakout. For Counter Strike IQ, this algorithm evaluates all historical support/resistance breaks and any subsequent breakouts. For instance, the price move following up to a breakout is measured and learned from, including the significance of the identified support/resistance level (how long it’s been active, how far price moved away from it, etc). By analyzing these patterns, Counter Strike IQ adapts to identify and trade similar future breakout sequences. In simple terms, Counter Strike IQ learns from violations of historical support/resistance levels to identify potential entry points at currently established support/resistance levels. Using this knowledge, it determines the optimal, current support/resistance price level where a breakout has a higher chance of occurring. For long positions, Counter Strike IQ places a stop-market order at the AI-identified resistance point. If price violates this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose: Acts as a legitimate profit target to exit 50% of the position. Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the long position remains active so long as price continues to uptrend. For short positions, Counter Strike IQ places a stop-market order at the AI-identified support point. If price violates this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose: Acts as a legitimate profit target to exit 50% of the position. Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the short position remains active so long as price continues to downtrend. As a trading system, Counter Strike IQ exits TP1 using a limit order, with all stop losses exited as stop market orders. What Classifies As a Tradable Upside Breakout or Tradable Downside Breakout? For Counter Strike IQ, tradable price breakouts are not manually set but are instead learned by the system. What qualifies as a significant upside or downside breakout in one market might not hold the same significance in another. Counter Strike IQ continuously analyzes historical and current support/resistance levels, how far price has extended from those levels, the raw-dollar price move leading up to a violation of those levels, their longevity, and more, to determine which future levels have a higher chance of breaking out when retested! The image above illustrates the Strike Channel and explains the corresponding prices and levels The green upper line represents the Long Breakout Point. The pink lower line represents the Short Breakout Point. Any price between the two deviation points is considered “Acceptable”. The image above shows a long position being entered after the Upside Breakout Point was reached. Green arrows indicate that the strategy entered a long position at the highlighted price level. Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop. Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price. If price closes above TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade. The image above shows the trailing stop price, represented by a blue line, used for the long position! You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price. The image above shows a short position being entered after the Downside Breakout Point was reached. Red arrows indicate that the strategy entered a short position at the highlighted price level. Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop. Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price. If price closes below TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade. The image above shows the trailing stop price, represented by a blue line, used for the short position! You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price. IQ Gradient Graph The IQ Gradient Graph provides a macro characterization of extreme prices. The lower macro extremity of the IQ Gradient Graph is colored green, while the upper macro extremity is colored red. Minimum Profit Target And Stop Loss The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission. After changing either setting, Counter Strike IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss. AI Direction The AI Direction setting controls the trade direction Counter Strike IQ is allowed to take. “Trade Longs” allows for long trades. “Trade Shorts” allows for short trades. EMA Filter The EMA Filter setting controls whether the AI should implement an EMA trading filter. Simply, if the EMA Filter is active, long trades can only initiate if price is trading above the user-defined EMA. Conversely, short trades can only initiate if price is trading below the user-defined EMA. The image above shows the EMA Filter in action! Verifying Counter Strike IQ’s Effectiveness Counter Strike IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing. This table shows the long strategy profit factor and the short strategy profit factor. The image above shows the long strategy profit factor and the short strategy profit factor for Counter Strike IQ. A profit factor greater than 1 indicates a strategy profitably traded historical price data. A profit factor less than 1 indicates a strategy unprofitably traded historical price data. A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data. Using Counter Strike IQ While Counter Strike IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations. The hallmark feature of Counter Strike IQ is its ability to signal a breakout near its origin point. Long entries are often signaled near the start of a large upside price move; short entries are often signaled near the start of a large downside price move. For live analysis, the Strike Channel serves as a valuable tool for identifying breakout points. The further price moves toward the Upside Breakout Point (green), the stronger the indication that price might breakout to the upside. Conversely, the deeper price reaches toward the Downside Breakout Point (red), the stronger the indication that price might breakout to the downside. Of course, should buying or selling pressure stall, price may fail to breakout at the identified breakout level. This is a natural consequence of any breakout trading strategy! With this information at hand, traders can quickly switch between charts and timeframes to identify optimized areas of interest.
Wskaźnik Pine Script®Płatny skrypt
od Trading-IQ
5
Pro Scalper AI [BullByte]The Pro Scalper AI is a powerful, multi-faceted scalping indicator designed to assist active traders in identifying short-term trading opportunities with precision. By combining trend analysis, momentum indicators, dynamic weighting, and optional AI forecasting, this tool provides both immediate and latched trading signals based on confirmed (closed bar) data—helping to avoid repainting issues. Its flexible design includes customizable filters such as a higher timeframe trend filter, and adjustable settings for ADX, ATR, and Hull Moving Average (HMA), giving traders the ability to fine-tune the strategy to different markets and timeframes. Key Features : - Confirmed Data Processing : Utilizes a helper function to lock in price and volume data only from confirmed (closed) bars, ensuring the reliability of signals without the risk of intrabar repainting. - Trend Analysis : Employs ADX and Directional Movement (DI) calculations along with a locally computed HMA to detect short-term trends. An optional higher timeframe trend filter can further refine the analysis. - Flexible Momentum Modes : Choose between three momentum calculation methods—Stochastic RSI, Fisher RSI, or Williams %R—to match your preferred style of analysis. This versatility allows you to optimize the indicator for different market conditions. - Dynamic Weighting & Volatility Adjustments : Adjusts the contribution of trend, momentum, volatility, and volume through dynamic weighting. This ensures that the indicator responds appropriately to varying market conditions by scaling its sensitivity with user-defined maximum factors. - Optional AI Forecast : For those who want an extra edge, the built-in AI forecasting module uses linear regression to predict future price moves and adjusts oscillator thresholds accordingly. This feature can be toggled on or off, with smoothing options available for more stable output. - Latching Mode for Signal Persistenc e: The script features a latching mechanism that holds signals until a clear reversal is detected, preventing whipsaws and providing more reliable trade entries and exits. - Comprehensive Visualizations & Dashboard : - Composite Oscillator & Dynamic Thresholds : The oscillator is plotted with dynamic upper and lower thresholds, and the area between them is filled with a color that reflects the active trading signal (e.g., Strong Buy, Early Sell). - Signal Markers : Both immediate (non-latching) and stored (latched) signals are marked on the chart with distinct shapes (circles, crosses, triangles, and diamonds) to differentiate between signal types. - Real-Time Dashboard : A customizable dashboard table displays key metrics including ADX, oscillator value, chosen momentum mode, HMA trend, higher timeframe trend, volume factor, AI bias (if enabled), and more, allowing traders to quickly assess market conditions at a glance. How to Use : 1. S ignal Interpretation : - Immediate Signals : For traders who prefer quick entries, the indicator displays immediate signals such as “Strong Buy” or “Early Sell” based on the current market snapshot. - Latched Signals : When latching is enabled, the indicator holds a signal state until a clear reversal is confirmed, offering sustained trade setups. 2. Trend Confirmation : - Use the HMA trend indicator and the optional higher timeframe trend filter to confirm the prevailing market direction before acting on signals. 3. Dynamic Thresholds & AI Forecasting : - Monitor the dynamically adjusted oscillator thresholds and, if enabled, the AI bias to gauge potential shifts in market momentum. 4. Risk Management : - Combine these signals with additional analysis and sound risk management practices to determine optimal entry and exit points for scalping trades. Disclaimer : This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management strategies before trading.
Wskaźnik Pine Script®
od BullByte
38